Neurocomputing

Author : Francoise Fogelman Soulie,Jeanny Herault
Publisher : Springer Science & Business Media
Page : 454 pages
File Size : 47,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642761539

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Neurocomputing by Francoise Fogelman Soulie,Jeanny Herault Pdf

This volume contains the collected papers of the NATO Conference on Neurocomputing, held in Les Arcs in February 1989. For many of us, this conference was reminiscent of another NATO Conference, in 1985, on Disordered Systems [1], which was the first conference on neural nets to be held in France. To some of the participants that conference opened, in a way, the field of neurocomputing (somewhat exotic at that time!) and also allowed for many future fruitful contacts. Since then, the field of neurocomputing has very much evolved and its audience has increased so widely that meetings in the US have often gathered more than 2000 participants. However, the NATO workshops have a distinct atmosphere of free discussions and time for exchange, and so, in 1988, we decided to go for another session. This was an ~casion for me and some of the early birds of the 1985 conference to realize how much, and how little too, the field had matured.

Author : Bipin Kumar Tripathi
Publisher : Springer
Page : 179 pages
File Size : 51,6 Mb
Release : 2014-11-05
Category : Technology & Engineering
ISBN : 9788132220749

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High Dimensional Neurocomputing by Bipin Kumar Tripathi Pdf

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.

Author : Ian Cloete,Jacek M. Zurada
Publisher : MIT Press
Page : 512 pages
File Size : 48,8 Mb
Release : 2000
Category : Computers
ISBN : 0262032740

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Knowledge-based Neurocomputing by Ian Cloete,Jacek M. Zurada Pdf

Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network.The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.ContributorsC. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada

Author : Hyo Seon Park
Publisher : CRC Press
Page : 242 pages
File Size : 40,9 Mb
Release : 1998-05-22
Category : Computers
ISBN : 0849320925

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Neurocomputing for Design Automation by Hyo Seon Park Pdf

Neurocomputing for Design Automation provides innovative design theories and computational models with two broad objectives: automation and optimization. This singular book: Presents an introduction to the automation and optimization of engineering design of complex engineering systems using neural network computing Outlines new computational models and paradigms for automating the complex process of design for unique engineering systems, such as steel highrise building structures Applies design theories and models to the solution of structural design problems Integrates three computing paradigms: mathematical optimization, neural network computing, and parallel processing The applications described are general enough to be applied directly or by extension to other engineering design problems, such as aerospace or mechanical design. Also, the computational models are shown to be stable and robust - particularly suitable for design automation of large systems, such as a 144-story steel super-highrise building structure with more than 20,000 members. The book provides an exceptional framework for the automation and optimization of engineering design, focusing on a new computing paradigm - neural networks computing. It presents the automation of complex systems at a new and higher level never achieved before.

Author : Bank W. Lee,Bing J. Sheu
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461539841

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Hardware Annealing in Analog VLSI Neurocomputing by Bank W. Lee,Bing J. Sheu Pdf

Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include associative memory, pattern classification, early vision processing, speech recognition, image data compression, and intelligent robot control. VLSI neural circuits play an important role in exploring and exploiting the rich properties of artificial neural networks by using pro grammable synapses and gain-adjustable neurons. Basic building blocks of the analog VLSI neural networks consist of operational amplifiers as electronic neurons and synthesized resistors as electronic synapses. The synapse weight information can be stored in the dynamically refreshed capacitors for medium-term storage or in the floating-gate of an EEPROM cell for long-term storage. The feedback path in the amplifier can continuously change the output neuron operation from the unity-gain configuration to a high-gain configuration. The adjustability of the vol tage gain in the output neurons allows the implementation of hardware annealing in analog VLSI neural chips to find optimal solutions very efficiently. Both supervised learning and unsupervised learning can be implemented by using the programmable neural chips.

Author : Novak Mirko,Pelikan E
Publisher : World Scientific
Page : 300 pages
File Size : 46,6 Mb
Release : 1991-03-15
Category : Electronic
ISBN : 9789814569200

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Theoretical Aspects Of Neurocomputing: Selected Papers From The Symposium On Neural Networks And Neurocomputing (Neuronet '90) by Novak Mirko,Pelikan E Pdf

This book contains a selection of both full and extended contributions presented at NEURONET '90. These contributions are predominantly oriented towards the theoretical problems of neurocomputing, and involve a wide scope of aspects — from neurophysiology and cytology to theoretical problems in neural network architectures, mathematical background of neurocomputing and learning strategies.

Author : V. Ravi,Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer
Page : 366 pages
File Size : 47,5 Mb
Release : 2015-11-24
Category : Computers
ISBN : 9783319272122

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Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015) by V. Ravi,Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan Pdf

This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering etc. The applications ranged from social network analysis, twitter sentiment analysis, cross domain sentiment analysis, information security, education sector, e-learning, information management, climate studies, rainfall prediction, brain studies, bioinformatics, structural engineering, sewage water quality, movement of aerial vehicles, etc.

Author : Robert Hecht-Nielsen
Publisher : Addison Wesley Publishing Company
Page : 456 pages
File Size : 50,6 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018862642

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Neurocomputing by Robert Hecht-Nielsen Pdf

The areas covered here are those which are commonly managed by the generalist. The four contributions discuss: the autopsy in fatal non- missile head injuries; viral encephalitis and its pathology; a general approach to neuropathological problems; and dementia in middle and late life. Gives an overview of the network theory, including background review, basic concepts, associative networks, mapping networks, spatiotemporal networks, and adaptive resonance networks. Explores the principles of fuzzy logic. Annotation copyrighted by Book News, Inc., Portland, OR

Author : Fredric M. Ham,Ivica Kostanic
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 680 pages
File Size : 55,5 Mb
Release : 2000
Category : Computers
ISBN : STANFORD:36105110235756

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Principles of Neurocomputing for Science and Engineering by Fredric M. Ham,Ivica Kostanic Pdf

Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.

Author : E. De Schutter
Publisher : Elsevier
Page : 1034 pages
File Size : 50,9 Mb
Release : 2003-06-20
Category : Computers
ISBN : 0444513833

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Computational Neuroscience: Trends in Research 2003 by E. De Schutter Pdf

This volume includes papers originally presented at the 11th annual Computational Neuroscience Meeting (CNS 02) held in July 2002 at the Congress Plaza Hotel & Convention Center in Chicago, Illinois, USA. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.

Author : Ashok Venketaraman Krishnamoorthy
Publisher : Unknown
Page : 648 pages
File Size : 41,8 Mb
Release : 1993
Category : Electronic
ISBN : UCSD:31822017739061

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3-Dimensional Optoelectronic (N,M,F) Networks for Neurocomputing and Parallel Processing by Ashok Venketaraman Krishnamoorthy Pdf

Author : Arun V. Holden,V. I. Kri︠u︡kov
Publisher : Manchester University Press
Page : 392 pages
File Size : 40,8 Mb
Release : 1991
Category : Neral computers
ISBN : 0719034566

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Neurocomputers and Attention: Connectionism and neurocomputers by Arun V. Holden,V. I. Kri︠u︡kov Pdf

Author : Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse
Publisher : Springer
Page : 532 pages
File Size : 46,9 Mb
Release : 2015-12-31
Category : Technology & Engineering
ISBN : 9783319283975

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Proceedings of ELM-2015 Volume 1 by Jiuwen Cao,Kezhi Mao,Jonathan Wu,Amaury Lendasse Pdf

This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning. This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

Author : Paul M. Churchland
Publisher : MIT Press
Page : 348 pages
File Size : 46,5 Mb
Release : 1992
Category : Philosophy
ISBN : 0262531062

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A Neurocomputational Perspective by Paul M. Churchland Pdf

"A Bradford book."Includes index. Bibliography: p. [305]-313.

Author : Ioannis Kanellopoulos,Graeme G. Wilkinson,Fabio Roli,James Austin
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642590412

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Neurocomputation in Remote Sensing Data Analysis by Ioannis Kanellopoulos,Graeme G. Wilkinson,Fabio Roli,James Austin Pdf

A state-of-the-art view of recent developments in the use of artificial neural networks for analysing remotely sensed satellite data. Neural networks, as a new form of computational paradigm, appear well suited to many of the tasks involved in this image analysis. This book demonstrates a wide range of uses of neural networks for remote sensing applications and reports the views of a large number of European experts brought together as part of a concerted action supported by the European Commission.