Neural Nets and Surroundings

Neural Nets and Surroundings

This volume collects a selection of contributions which has been presented at the
22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian
Society for Neural Networks (SIREN). The conference was held in Italy, Vietri sul
 ...

Author: Bruno Apolloni

Publisher: Springer Science & Business Media

ISBN: 9783642354670

Category: Computers

Page: 456

View: 313

This volume collects a selection of contributions which has been presented at the 22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Italy, Vietri sul Mare (Salerno), during May 17-19, 2012. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in three main components, two special sessions and a group of regular sessions featuring different aspects and point of views of artificial neural networks and natural intelligence, also including applications of present compelling interest.
Categories: Computers

Neural Nets WIRN VIETRI 97

Neural Nets WIRN VIETRI 97

Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno,
Italy, 22–24 May 1997 Maria Marinaro, ... The directional symbols can be a black
directional arrow to drive the robot into indoor environment or a black square to ...

Author: Maria Marinaro

Publisher: Springer Science & Business Media

ISBN: 9781447115205

Category: Computers

Page: 338

View: 530

This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Categories: Computers

Neural Networks In Biomedicine Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

Neural Networks In Biomedicine   Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

But organisms can also determine or influence their objective environment by
displacing, modify, creating, destroying, etc. parts of the objective environment.
Neural networks that live in environment live in an objective environment,
although ...

Author: Masulli Francesco

Publisher: World Scientific

ISBN: 9789814551533

Category:

Page: 416

View: 118

This book contains a collection of essays written in honor of Wolfhart Zimmermann's 80th birthday, most of them based on talks presented at a symposium in his honor.The book shows the unifying force of a subject (Quantum Field Theory) and a person (Zimmermann). It ranges from fundamental questions in quantum physics over applications to particle physics and noncommutative geometry to the latest developments in many body theory and dynamical systems. These key ideas are elucidated by worldwide-recognized experts including Faddeev, Becchi, Buchholz, Lowenstein and Salmhofer.Readers seeking examples on how a subject has evolved, diversified and deepened over the course of several decades and how a single person can influence this process can find here a perfect illustration. Altogether, readers are treated to a high-brow intellectual adventure.
Categories:

An Introduction to the Modeling of Neural Networks

An Introduction to the Modeling of Neural Networks

7 LEARNING DYNAMICS IN ' VISIBLE ' NEURAL NETWORKS Computing the
volume of solutions r ( P ) of a given problem ... its parameters , synaptic
efficacies or threshold levels so as to improve its response with respect to its
environment .

Author: Pierre Peretto

Publisher: Cambridge University Press

ISBN: 0521424879

Category: Computers

Page: 473

View: 408

This book is a beginning graduate-level introduction to neural networks which is divided into four parts.
Categories: Computers

Fundamentals of Artificial Neural Networks

Fundamentals of Artificial Neural Networks

When a neural network interacts with a fixed and unchanging (stationary)
environment, the aim of the learning algorithm is to adjust the weights of the
network in order to produce an optimal response, i.e., an optimal representation
of the ...

Author: Mohamad H. Hassoun

Publisher: MIT Press

ISBN: 026208239X

Category: Computers

Page: 511

View: 755

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.
Categories: Computers

Process Neural Networks

Process Neural Networks

It should be said that this perception not only acquires information from the
outside environment by sensors, but also pretreats the information. An artificial
neural network perceptron, especially a multi-layer perceptron, has strong
processing ...

Author: Xingui He

Publisher: Springer Science & Business Media

ISBN: 3540737626

Category: Computers

Page: 240

View: 739

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Categories: Computers

Advances in Neural Networks

Advances in Neural Networks

This paper focused on the problem of the autonomous mobile robot navigation
under the unknown and changing environment. The reinforcement learning (RL)
is applied to learn behaviors of reactive robot. T-S fuzzy neural network and RL ...

Author: Fuchun Sun

Publisher: Springer Science & Business Media

ISBN: 9783540877318

Category: Computers

Page: 908

View: 905

(Bayreuth University, Germany), Jennie Si (Arizona State University, USA), and Hang Li (MicrosoftResearchAsia, China). Besides the regularsessions andpanels, ISNN 2008 also featured four special sessions focusing on some emerging topics.
Categories: Computers

Neural Networks

Neural Networks

The artificial neural network will first become interesting as a computer when it is
capable of carrying out well-defined ... to solve a particular problem, an external
pressure must be brought to bear on the complete network by the surroundings.

Author: S?ren Brunak

Publisher: World Scientific

ISBN: 9971509385

Category: Computers

Page: 180

View: 647

Both specialists and laymen will enjoy reading this book. Using a lively, non-technical style and images from everyday life, the authors present the basic principles behind computing and computers. The focus is on those aspects of computation that concern networks of numerous small computational units, whether biological neural networks or artificial electronic devices.
Categories: Computers

Neural Nets

Neural Nets

Unlike ”classical” connectionism, Artificial Life does not study single disembodied
neural networks living in a void but it studies evolving populations of neural
networks with a physical body and a genotype and living in a physical
environment.

Author: Maria Marinaro

Publisher: Springer Science & Business Media

ISBN: 9783540442653

Category: Computers

Page: 252

View: 106

This book constitutes the thoroughly refereed post-proceedings of the 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, held in Vietri sul Mare, Italy in May/June 2002. The 21 revised full papers presented together with three invited papers were carefully reviewed and revised during two rounds of selection and improvement. The papers are organized in topical sections on architectures and algorithms, image and signal processing applications, and learning in neural networks.
Categories: Computers

Advances in Neural Networks ISNN 2006

Advances in Neural Networks   ISNN 2006

Pt. III: Third International Symposium on Neural Networks, ISNN 2006, Chengdu,
China, May 28 - June 1, 2006, ... types of noise including muscle artifact noise
and electrode moving artifact noise are in coupled in dynamic environment.

Author:

Publisher: Springer Science & Business Media

ISBN: 9783540344827

Category: Artificial intelligence

Page: 4288

View: 875

Categories: Artificial intelligence

Complex Valued Neural Networks

Complex Valued Neural Networks

Therefore, the processing in the neural networks is largely influenced by the
accumulation of experience, i.e., what they have felt and obtained from the
environment. We notice this fact in our biological neural network, or brain, in the
daily life.

Author: Akira Hirose

Publisher: Springer

ISBN: 9783540334576

Category: Computers

Page: 176

View: 721

This monograph instructs graduate- and undergraduate-level students in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering on the concepts of complex-valued neural networks. Emphasizing basic concepts and ways of thinking about neural networks, the author focuses on neural networks that deal with complex numbers; the practical advantages of complex-valued neural networks, and their origins; the development of principal applications? The book uses detailed examples to answer these questions and more.
Categories: Computers

Neural Networks in Atmospheric Remote Sensing

Neural Networks in Atmospheric Remote Sensing

Just as biological neural networks are capable of learning from their environment
, neural nets are able to learn from the presentation of training data, as the free
parameters (weights and biases) are adaptively tuned to fit the training data.

Author: William J. Blackwell

Publisher: Artech House

ISBN: 9781596933736

Category: Computers

Page: 215

View: 938

This authoritative reference offers you a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. You find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. The book provides clear explanations of the mathematical and physical foundations of remote sensing systems, including radiative transfer and propagation theory, sensor technologies, and inversion and estimation approaches. You discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.
Categories: Computers

Artificial Neural Nets Problem Solving Methods

Artificial Neural Nets  Problem Solving Methods

7th International Work-Conference on Artificial and Natural Neural Networks,
IWANN 2003, Maó, Menorca, Spain, ... the cytoplasm which represents all the
part of the cell that surrounds the core, and the background which surrounds the
cells.

Author: International Work Conference on Artificial and Natural Neural Networks (7, 2003, Mahón)

Publisher: Springer Science & Business Media

ISBN: 354040211X

Category: Computers

Page: 820

View: 371

The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.
Categories: Computers

Neural Nets

Neural Nets

16th Italian Workshop on Neural Nets, WIRN 2005, International Workshop on
Natural and Artificial Immune Systems, ... We consider the surroundings of those
selected points as true information granules and equip them with bell-shaped ...

Author: Bruno Apolloni

Publisher: Springer Science & Business Media

ISBN: 9783540331834

Category: Computers

Page: 370

View: 951

This book constitutes the thoroughly refereed postproceedings of the 16th Italian Workshop on Neural Nets, WIRN 2005, as well as the satellite International Workshop on Natural and Artificial Immune Systems, NAIS 2005, held in Vietri sul Mare, Italy in June 2005. The 41 revised papers presented together with a lecture by the winner of the Premio Caianiello award were carefully reviewed and improved during two rounds of selection and refereeing.
Categories: Computers

An Introduction to Neural Networks

An Introduction to Neural Networks

As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, ...

Author: Kevin Gurney

Publisher: CRC Press

ISBN: 1857285034

Category: Computers

Page: 234

View: 280

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.
Categories: Computers

Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms

It is also true that a homogeneous population is less adapted to dynamic
changes in the environment. In EA, the diversity of a population is mostly
achieved by the application of the genetic operators. The traditional genetic
operators used in ...

Author: David W. Pearson

Publisher: Springer Science & Business Media

ISBN: 3211007431

Category: Computers

Page: 266

View: 852

The papers in this volume present theoretical aspects and applications of artificial neural networks and genetic algorithms. Also included are papers on fuzzy logic, soft computing, and artificial intelligence.Fundamental issues are addressed, such as the nonlinear approximation capabilities of neural networks and formal methods of data representation with topological properties. New elements in genetic algorithms are presented, for example, crossover methods and gene representation.Papers on applications of neural networks show how successful these methods are in a wide range of fields like meteorological and atmospheric pollution forecasts, furnace control, and system identification. Genetic algorithms are used to solve optimization problems related to shipping and computer vision. Fuzzy-logic-based techniques are applied to sociodynamic models and hybrid neuro-fuzzy models.
Categories: Computers

Neural Networks

Neural Networks

This book introduces readers to the basic models of neural networks and compares and contrasts these models using other statistical models.

Author: Herve Abdi

Publisher: SAGE

ISBN: 0761914404

Category: Computers

Page: 89

View: 356

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modeling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.
Categories: Computers

Neural Network Programming with Java

Neural Network Programming with Java

Create and unleash the power of neural networks by implementing professional Java code About This Book Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi ...

Author: Alan M.F. Souza

Publisher: Packt Publishing Ltd

ISBN: 9781785884948

Category: Computers

Page: 244

View: 554

Create and unleash the power of neural networks by implementing professional Java code About This Book Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi-platform feature to run your personal neural networks everywhere This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This book is for Java developers with basic Java programming knowledge. No previous knowledge of neural networks is required as this book covers the concepts from scratch. What You Will Learn Get to grips with the basics of neural networks and what they are used for Develop neural networks using hands-on examples Explore and code the most widely-used learning algorithms to make your neural network learn from most types of data Discover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the data Apply the code generated in practical examples, including weather forecasting and pattern recognition Understand how to make the best choice of learning parameters to ensure you have a more effective application Select and split data sets into training, test, and validation, and explore validation strategies Discover how to improve and optimize your neural network In Detail Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for neural network programming is Java as it is easier to write code using it, and most of the most popular neural network packages around already exist for Java. This makes it a versatile programming language for neural networks. This book gives you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java. You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using the concepts you've learned. Furthermore, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time. All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience. Style and approach This book adopts a step-by-step approach to neural network development and provides many hands-on examples using Java programming. Each neural network concept is explored through real-world problems and is delivered in an easy-to-comprehend manner.
Categories: Computers

Artificial Neural Networks ICANN 2002

Artificial Neural Networks     ICANN 2002

The graph is used as an environment map for an autonomous agent, where the
graph nodes contain information about places in two different ways: a panoramic
image containing the landmark configuration and the estimated recording ...

Author: Jose R. Dorronsoro

Publisher: Springer Science & Business Media

ISBN: 9783540440741

Category: Computers

Page: 1384

View: 899

The International Conferences on Arti?cial Neural Networks, ICANN, have been held annually since 1991 and over the years have become the major European meeting in neural networks. This proceedings volume contains all the papers presented at ICANN 2002, the 12th ICANN conference, held in August 28– 30, 2002 at the Escuela T ́ecnica Superior de Inform ́atica of the Universidad Aut ́onoma de Madrid and organized by its Neural Networks group. ICANN 2002 received a very high number of contributions, more than 450. Almost all papers were revised by three independent reviewers, selected among the more than 240 serving at this year’s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference.
Categories: Computers

Elements of Artificial Neural Networks

Elements of Artificial Neural Networks

... animals recognize various objects and make sense out of the large amount of
visual information in their surroundings, ... The neural network of an animal is part
of its nervous system, containing a large number of interconnected neurons ...

Author: Kishan Mehrotra

Publisher: MIT Press

ISBN: 0262133288

Category: Computers

Page: 344

View: 874

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.
Categories: Computers