Neural Nets and Surroundings

by Bruno Apolloni

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
 ...

Neural Nets and Surroundings

Author: Bruno Apolloni

Publisher: Springer Science & Business Media

ISBN: 364235467X

Page: 456

View: 148

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.

Neural Nets WIRN VIETRI 97

by Maria Marinaro

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 ...

Neural Nets WIRN VIETRI 97

Author: Maria Marinaro

Publisher: Springer Science & Business Media

ISBN: 1447115201

Page: 338

View: 489

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.

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

by Masulli Francesco

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 ...

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

Author: Masulli Francesco

Publisher: World Scientific

ISBN: 9814551538

Page: 416

View: 455

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.

An Introduction to the Modeling of Neural Networks

by Pierre Peretto

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 .

An Introduction to the Modeling of Neural Networks

Author: Pierre Peretto

Publisher: Cambridge University Press

ISBN: 9780521424875

Page: 473

View: 279

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

Fundamentals of Artificial Neural Networks

by Mohamad H. Hassoun

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 ...

Fundamentals of Artificial Neural Networks

Author: Mohamad H. Hassoun

Publisher: MIT Press

ISBN: 9780262082396

Page: 511

View: 862

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.

Process Neural Networks

by Xingui He

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 ...

Process Neural Networks

Author: Xingui He

Publisher: Springer Science & Business Media

ISBN: 9783540737629

Page: 240

View: 101

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.

Advances in Neural Networks

by Fuchun Sun

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 ...

Advances in Neural Networks

Author: Fuchun Sun

Publisher: Springer Science & Business Media

ISBN: 3540877312

Page: 908

View: 786

(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.

Neural Nets

by Maria Marinaro

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.

Neural Nets

Author: Maria Marinaro

Publisher: Springer Science & Business Media

ISBN: 3540442650

Page: 252

View: 675

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.

Advances in Neural Networks ISNN 2006

by

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

Advances in Neural Networks ISNN 2006

Author:

Publisher: Springer Science & Business Media

ISBN: 3540344829

Page: 4288

View: 792

Complex Valued Neural Networks

by Akira Hirose

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.

Complex Valued Neural Networks

Author: Akira Hirose

Publisher: Springer

ISBN: 3540334572

Page: 176

View: 178

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.

Artificial Neural Nets Problem Solving Methods

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

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.

Artificial Neural Nets Problem Solving Methods

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

Publisher: Springer Science & Business Media

ISBN: 9783540402114

Page: 820

View: 201

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.

Neural Nets

by Bruno Apolloni

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 ...

Neural Nets

Author: Bruno Apolloni

Publisher: Springer Science & Business Media

ISBN: 3540331832

Page: 370

View: 882

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.

Artificial Neural Networks ICANN 2002

by Jose R. Dorronsoro

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 ...

Artificial Neural Networks ICANN 2002

Author: Jose R. Dorronsoro

Publisher: Springer Science & Business Media

ISBN: 3540440747

Page: 1384

View: 822

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.

Elements of Artificial Neural Networks

by Kishan Mehrotra

... 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 ...

Elements of Artificial Neural Networks

Author: Kishan Mehrotra

Publisher: MIT Press

ISBN: 9780262133289

Page: 344

View: 214

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.

Artificial Neural Networks ICANN 2008

by Roman Neruda

In this study we ran real time learning of multiple physical autonomous robots
situated in a real dynamic environment. Each ro- bot has an onboard micro
controller where a simple neural network is embedded. The neural network was
built ...

Artificial Neural Networks ICANN 2008

Author: Roman Neruda

Publisher: Springer Science & Business Media

ISBN: 3540875581

Page: 986

View: 452

Patterns: From Cog- tion to Disease,” and “ConstructiveNeuralNetworks,”and two workshops,New TrendsinSelf-OrganizationandOptimizationofArti?cialNeuralNetworks,and Adaptive Mechanisms of the Perception-Action Cycle.

Neural Networks and Qualitative Physics

by Jean-Pierre Aubin

for the sake of simplicity , we do not use differential inclusions11 nor differential
inclusions with memory to model the action of the cognitive system on the
environment . We present the main ideas of this chapter in the framework of
differential ...

Neural Networks and Qualitative Physics

Author: Jean-Pierre Aubin

Publisher: Cambridge University Press

ISBN: 9780521445320

Page: 283

View: 952

Artificial intelligence covering neural networks, cognitive systems, qualitative physics.

Neural Networks in Atmospheric Remote Sensing

by William J. Blackwell

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.

Neural Networks in Atmospheric Remote Sensing

Author: William J. Blackwell

Publisher: Artech House

ISBN: 1596933739

Page: 215

View: 347

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.

Advances in Neural Networks ISNN 2009

by Wen Yu

6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China,
May 26-29, 2009 Proceedings Wen Yu, ... with a variety of problems such as
background noise, signal noise and distortion, and environment or device
variations [2].

Advances in Neural Networks ISNN 2009

Author: Wen Yu

Publisher: Springer Science & Business Media

ISBN: 3642015123

Page: 1245

View: 212

The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009. The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.

Artificial Neural Nets and Genetic Algorithms

by David W. Pearson

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 ...

Artificial Neural Nets and Genetic Algorithms

Author: David W. Pearson

Publisher: Springer Science & Business Media

ISBN: 9783211007433

Page: 266

View: 725

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.

Environment and Earth s Resources

by A. Ghazi

New York : Ronald Press Company , 317–325 . Heerman , P. D. , and Khazenie ,
N. ( 1992 ) Classification of multispectral remote sensing data using a
backpropagation neural network . IEEE Transactions on Geoscience and Remote
Sensing ...

Environment and Earth s Resources

Author: A. Ghazi

Publisher: CRC Press

ISBN: 9783718657544

Page: 146

View: 120