Theoretical Aspects Of Neural Computation A Multidisciplinary Perspective

Author : Kwok-Yee M. Wong,Dit-Yan Yeung
Publisher : Springer
Page : 340 pages
File Size : 49,6 Mb
Release : 1998-06
Category : Computers
ISBN : UOM:39015047072247

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Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective by Kwok-Yee M. Wong,Dit-Yan Yeung Pdf

Over the past decade or so, neural computation has emerged as a research area with active involvement by researchers from a number of different disciplines, including computer science, engineering, mathematics, neurobiology, physics, and statistics. The workshop brought together researchers with a diverse background to review the current status of neural computation research. Three aspects of neural computation have been emphasized: neuroscience aspects, computational and Mathematical aspects, and statistical physics aspects. This book contains 28 contributions from frontier researchers in these fields. Thoroughly re-edited, and in some cases revised post-workshop, these papers collated into this review volume provide a top-class reference summary of the state-of-the-art work done in this field.

Author : Simone Bassis,Anna Esposito,Francesco Carlo Morabito
Publisher : Springer
Page : 402 pages
File Size : 49,5 Mb
Release : 2015-06-05
Category : Technology & Engineering
ISBN : 9783319181646

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Advances in Neural Networks: Computational and Theoretical Issues by Simone Bassis,Anna Esposito,Francesco Carlo Morabito Pdf

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

Author : Wenjun Zhang
Publisher : World Scientific
Page : 312 pages
File Size : 53,6 Mb
Release : 2010-06-25
Category : Science
ISBN : 9789814466899

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Computational Ecology: Artificial Neural Networks And Their Applications by Wenjun Zhang Pdf

Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed.Computational Ecology consists of two parts: the first describes the methods and algorithms of ANNs, interpretability and mathematical generalization of neural networks, Matlab neural network toolkit, etc., while the second provides case studies of applications of ANNs in ecology, Matlab codes, and comparisons of ANNs with conventional methods. This publication will be a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of ecology, environmental sciences, and computational science.

Author : Michael I. Jordan,Michael J. Kearns,Sara A. Solla
Publisher : MIT Press
Page : 1114 pages
File Size : 50,5 Mb
Release : 1998
Category : Computers
ISBN : 0262100762

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Advances in Neural Information Processing Systems 10 by Michael I. Jordan,Michael J. Kearns,Sara A. Solla Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the papers that were presented.

Author : Gustavo Deco,Dragan Obradovic
Publisher : Springer Science & Business Media
Page : 265 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461240167

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An Information-Theoretic Approach to Neural Computing by Gustavo Deco,Dragan Obradovic Pdf

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.

Author : Anna Esposito,Marcos Faudez-Zanuy,Francesco Carlo Morabito,Eros Pasero
Publisher : Springer
Page : 388 pages
File Size : 49,8 Mb
Release : 2017-08-28
Category : Technology & Engineering
ISBN : 9783319569048

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Multidisciplinary Approaches to Neural Computing by Anna Esposito,Marcos Faudez-Zanuy,Francesco Carlo Morabito,Eros Pasero Pdf

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to – which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) – ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.

Author : Richard O. Duda,Peter E. Hart,David G. Stork
Publisher : John Wiley & Sons
Page : 680 pages
File Size : 44,9 Mb
Release : 2012-11-09
Category : Technology & Engineering
ISBN : 9781118586006

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Pattern Classification by Richard O. Duda,Peter E. Hart,David G. Stork Pdf

The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Author : Michael S. Kearns,Sara A. Solla,David A. Cohn
Publisher : MIT Press
Page : 1122 pages
File Size : 53,7 Mb
Release : 1999
Category : Computers
ISBN : 0262112450

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Advances in Neural Information Processing Systems 11 by Michael S. Kearns,Sara A. Solla,David A. Cohn Pdf

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.

Author : Ning Zhong,Jiming Liu
Publisher : Springer Science & Business Media
Page : 724 pages
File Size : 41,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662079522

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Intelligent Technologies for Information Analysis by Ning Zhong,Jiming Liu Pdf

Intelligent Information Technology (iiT) encompasses the theories and ap plications of artificial intelligence, statistical pattern recognition, learning theory, data warehousing, data mining and knowledge discovery, Grid com puting, and autonomous agents and multi-agent systems in the context of today's as well as future IT, such as Electronic Commerce (EC), Business Intelligence (BI), Social Intelligence (SI), Web Intelligence (WI), Knowledge Grid (KG), and Knowledge Community (KC), among others. The multi-author monograph presents the current state of the research and development in intelligent technologies for information analysis, in par ticular, advances in agents, data mining, and learning theory, from both the oretical and application aspects. It investigates the future of information technology (IT) from a new intelligent IT (iiT) perspective, and highlights major iiT-related topics by structuring an introductory chapter and 22 sur vey/research chapters into 5 parts: (1) emerging data mining technology, (2) data mining for Web intelligence, (3) emerging agent technology, ( 4) emerging soft computing technology, and (5) statistical learning theory. Each chapter includes the original work of the author(s) as well as a comprehensive survey related to the chapter's topic. This book will become a valuable source of reference for R&D profession als active in advanced intelligent information technologies. Students as well as IT professionals and ambitious practitioners concerned with advanced in telligent information technologies will appreciate the book as a useful text enhanced by numerous illustrations and examples.

Author : John A. Hertz
Publisher : CRC Press
Page : 352 pages
File Size : 55,8 Mb
Release : 2018-03-08
Category : Science
ISBN : 9780429968211

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Introduction To The Theory Of Neural Computation by John A. Hertz Pdf

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

Author : Hamid R. Tizhoosh
Publisher : Springer Science & Business Media
Page : 328 pages
File Size : 50,7 Mb
Release : 2008-09-02
Category : Computers
ISBN : 9783540708261

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Oppositional Concepts in Computational Intelligence by Hamid R. Tizhoosh Pdf

Opposition permeates nature, but because of a lack of accepted mathematical formalism, the field is rarely studied outside of philosophy and logic. This book is the first ever to elucidate and explore opposition-based computing and concepts.

Author : Lei Xu
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 52,7 Mb
Release : 1998-12
Category : Business & Economics
ISBN : 9814021237

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IDEAL '98 by Lei Xu Pdf

1st International Symposium IDEAL'98

Author : P. S. Neelakanta
Publisher : CRC Press
Page : 233 pages
File Size : 50,9 Mb
Release : 2020-09-23
Category : Technology & Engineering
ISBN : 9781000141252

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Information-Theoretic Aspects of Neural Networks by P. S. Neelakanta Pdf

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.

Author : R R Bowker Publishing
Publisher : Unknown
Page : 1312 pages
File Size : 41,5 Mb
Release : 1999-03
Category : Electronic
ISBN : 0835240878

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American Book Publishing Record Cumulative 1998 by R R Bowker Publishing Pdf

Author : H. Malmgren,Magnus Borga
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 43,9 Mb
Release : 2000-04-12
Category : Computers
ISBN : 1852332891

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Artificial Neural Networks in Medicine and Biology by H. Malmgren,Magnus Borga Pdf

This volume comprises a selection of papers presented at ANNIMAB-1, the first conference to focus specifically on the topics of ANNs in medicine and biology. It covers three main areas: The medical applications of ANNs, such as in diagnosis and outcome prediction, medical image analysis, and medical signal processing; The uses of ANNs in biology outside clinical medicine, such as in data analysis, in molecular biology, and in simulations of biological systems; The theoretical aspects of ANNs, examining recent developments in learning algorithms and the possible role of ANNs in the medical decision process. Summarising the state-of-the-art and analysing the relationship between ANN techniques and other available methods, it also points to possible future biological and medical uses of ANNs. Essential reading for all neural network theorists, it will also be of interest to biologists and physicians with an interest in modelling and advanced statistical techniques.