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Author : Bert Andree
Publisher :
ISBN 13 : 9789039308400
Total Pages : 140 pages
Book Rating : 4.3/5 (84 download)
Download or read book Constructive Learning Algorithms for Feed-forward Neural Networks written by Bert Andree and published by . This book was released on 1995 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tin-yau Kwok
Publisher :
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.:/5 (358 download)
Download or read book Constructive Algorithms for Structure Learning in Feedforward Neural Networks written by Tin-yau Kwok and published by . This book was released on 1996 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leonardo Franco
Publisher : Springer Science & Business Media
ISBN 13 : 3642045111
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)
Download or read book Constructive Neural Networks written by Leonardo Franco and published by Springer Science & Business Media. This book was released on 2009-10-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of invited works that consider constructive methods for neural networks, taken primarily from papers presented at a special th session held during the 18 International Conference on Artificial Neural Networks (ICANN 2008) in September 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to the standard method of finding a correct neural architecture by trial-and-error. These algorithms provide an incremental way of building neural networks with reduced topologies for classification problems. Furthermore, these techniques produce not only the multilayer topologies but the value of the connecting synaptic weights that are determined automatically by the constructing algorithm, avoiding the risk of becoming trapped in local minima as might occur when using gradient descent algorithms such as the popular back-propagation. In most cases the convergence of the constructing algorithms is guaranteed by the method used. Constructive methods for building neural networks can potentially create more compact and robust models which are easily implemented in hardware and used for embedded systems. Thus a growing amount of current research in neural networks is oriented towards this important topic. The purpose of this book is to gather together some of the leading investigators and research groups in this growing area, and to provide an overview of the most recent advances in the techniques being developed for constructive neural networks and their applications.
Author : Mostefa Golea
Publisher :
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.:/5 (872 download)
Download or read book On Efficient Learning Algorithms for Neural Networks written by Mostefa Golea and published by . This book was released on 1993 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inductive Inference Learning can be described in terms of finding a good approximation to some unknown classification rule f, based on a pre-classified set of training examples $\langle$x,f(x)$\rangle.$ One particular class of learning systems that has attracted much attention recently is the class of neural networks. But despite the excitement generated by neural networks, learning in these systems has proven to be a difficult task. In this thesis, we investigate different ways and means to overcome the difficulty of training feedforward neural networks. Our goal is to come up with efficient learning algorithms for new classes (or architectures) of neural nets. In the first approach, we relax the constraint of fixed architecture adopted by most neural learning algorithms. We describe two constructive learning algorithms for two-layer and tree-like networks. In the second approach, we adopt the "probably approximately correct" (PAC) learning model and we look for positive learnability results by restricting the distribution generating the training examples, the connectivity of the networks, and/or the weight values. This enables us to identify new classes of neural networks that are efficiently learnable in the chosen setting. In the third and final approach, we look at the problem of learning in neural networks from the average case point of view. In particular, we investigate the average case behavior of the well known clipped Hebb rule when learning different neural networks with binary weights. The arguments given for the "efficient learnability" range from extensive simulations to rigorous mathematical proofs.
Author : Kusum Deep
Publisher : Springer Science & Business Media
ISBN 13 : 8132204875
Total Pages : 1048 pages
Book Rating : 4.1/5 (322 download)
Download or read book Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 written by Kusum Deep and published by Springer Science & Business Media. This book was released on 2012-04-15 with total page 1048 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.
Author : Cornelius T. Leondes
Publisher : Academic Press
ISBN 13 : 0080551823
Total Pages : 421 pages
Book Rating : 4.0/5 (85 download)
Download or read book Implementation Techniques written by Cornelius T. Leondes and published by Academic Press. This book was released on 1998-02-09 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference. Recurrent methods Boltzmann machines Constructive learning with methods for the reduction of complexity in neural network systems Modular systems Associative memory Neural network design based on the concept of the Inductive Logic Unit Data classification Integrated neuron model systems that function as programmable rational approximators
Author : Russell Reed
Publisher : MIT Press
ISBN 13 : 0262181908
Total Pages : 359 pages
Book Rating : 4.2/5 (621 download)
Download or read book Neural Smithing written by Russell Reed and published by MIT Press. This book was released on 1999-02-17 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
Author : International Neural Network Society
Publisher : Psychology Press
ISBN 13 : 9780805826081
Total Pages : 1408 pages
Book Rating : 4.8/5 (26 download)
Download or read book WCNN'96, San Diego, California, U.S.A. written by International Neural Network Society and published by Psychology Press. This book was released on 1996 with total page 1408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ke-Lin Du
Publisher : Springer Nature
ISBN 13 : 1447174526
Total Pages : 988 pages
Book Rating : 4.4/5 (471 download)
Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Nature. This book was released on 2019-09-12 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: • multilayer perceptron; • the Hopfield network; • associative memory models;• clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning.
Author : Masumi Ishikawa
Publisher : Springer Science & Business Media
ISBN 13 : 3540691545
Total Pages : 1165 pages
Book Rating : 4.5/5 (46 download)
Download or read book Neural Information Processing written by Masumi Ishikawa and published by Springer Science & Business Media. This book was released on 2008-06-16 with total page 1165 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Author : Frank J. Śmieja
Publisher :
ISBN 13 :
Total Pages : 33 pages
Book Rating : 4.:/5 (349 download)
Download or read book Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency? written by Frank J. Śmieja and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "There are currently several types of constructive, or growth, algorithms available for training a feed-forward neural network. This paper describes and explains the main ones, using a fundamental approach to the multi-layer perceptron problem-solving mechanisms. The claimed convergence properties of the algorithms are verified using just two mapping theorems, which consequently enables all the algorithms to be unified under a basic mechanism. The algorithms are compared and contrasted and the deficiencies of some highlighted. The fundamental reasons for the actual success of these algorithms are extracted, and used to suggest where they might most fruitfully be applied. A suspicion that they are not a panacea for all current neural network difficulties, and that one must somewhere along the line pay for the learning efficiency they promise, is developed into an argument that their generalization abilities will lie on average below that of back-propagation."
Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080551351
Total Pages : 423 pages
Book Rating : 4.0/5 (85 download)
Download or read book Optimization Techniques written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks, optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial, manufacturing, mechanical, electrical, and computer engineering. Provides in-depth treatment of theoretical contributions to optimal learning for neural network systems Offers a comprehensive treatment of orthogonal transformation techniques for the optimization of neural network systems Includes illustrative examples and comprehensive treatment of sequential constructive techniques for optimization of neural network systems Presents a uniquely comprehensive treatment of the highly effective fast back propagation algorithms for the optimization of neural network systems Treats, in detail, optimization techniques for neural network systems with nonstationary or dynamic inputs Covers optimization techniques and applications of neural network systems in constraint satisfaction
Author : Vera Kurkova-Pohlova
Publisher : Springer
ISBN 13 : 354087559X
Total Pages : 1012 pages
Book Rating : 4.5/5 (48 download)
Download or read book Artificial Neural Networks - ICANN 2008 written by Vera Kurkova-Pohlova and published by Springer. This book was released on 2008-08-29 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.
Author : Maria Marinaro
Publisher : Springer Science & Business Media
ISBN 13 : 1447108116
Total Pages : 389 pages
Book Rating : 4.4/5 (471 download)
Download or read book Neural Nets WIRN VIETRI-98 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.
Author : Stefanos Kollias
Publisher : Springer Science & Business Media
ISBN 13 : 3540386254
Total Pages : 1041 pages
Book Rating : 4.5/5 (43 download)
Download or read book Artificial Neural Networks - ICANN 2006 written by Stefanos Kollias and published by Springer Science & Business Media. This book was released on 2006 with total page 1041 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 3540695729
Total Pages : 1275 pages
Book Rating : 4.5/5 (46 download)
Download or read book Artificial Intelligence and Soft Computing – ICAISC 2008 written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2008-06-16 with total page 1275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.
Author : Paul P Wang
Publisher : World Scientific
ISBN 13 : 9814474487
Total Pages : 1709 pages
Book Rating : 4.8/5 (144 download)
Download or read book Information Sciences 2007 - Proceedings Of The 10th Joint Conference written by Paul P Wang and published by World Scientific. This book was released on 2007-07-18 with total page 1709 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceeding contains the cutting-edge research results in information science and technology, and their related technology. Recent scientific breakthroughs such as invisibility cloak and meta-materials, data mining techniques, advanced game playing in artificial intelligence, nano-technology, unlikely event probability, and fuzzy logic reasoning are just a few outstanding examples. Walter Freeman's 80th birthday celebration is another highlight of this proceedings, because this major event is attended by many leading scientists from around the world. Key speakers include Charles Falco, Water Freeman, Thomas Huang, Meyya Meyyappan, Lotfi Zadeh, Bernette Bouchon Meunier, Heather Carlson, Ling Guan, Etienne Kerre and John Mordes.
