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Author : E. Mayoraz
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (897 download)
Download or read book Constructive Training Methods for Feedforward Neural Networks with Binary Weights written by E. Mayoraz and published by . This book was released on 1995 with total page 20 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 : 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 : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030585808
Total Pages : 830 pages
Book Rating : 4.0/5 (35 download)
Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-12-02 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Download or read book Computer & Control Abstracts written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anthony Aaron Kempka
Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.:/5 (297 download)
Download or read book A Stochastic Technique in Constructive Training of Artificial Neural Networks written by Anthony Aaron Kempka and published by . This book was released on 1992 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 1248 pages
Book Rating : 4.:/5 (31 download)
Download or read book Cumulated Index Medicus written by and published by . This book was released on 1997 with total page 1248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 650 pages
Book Rating : 4.:/5 (5 download)
Download or read book Network written by and published by . This book was released on 1994 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jagath Chandana Rajapakse
Publisher : Springer
ISBN 13 : 3540399356
Total Pages : 487 pages
Book Rating : 4.5/5 (43 download)
Download or read book Neural Information Processing: Research and Development written by Jagath Chandana Rajapakse and published by Springer. This book was released on 2012-12-06 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.
Author : David W. Pearson
Publisher : Springer Science & Business Media
ISBN 13 : 370910646X
Total Pages : 274 pages
Book Rating : 4.7/5 (91 download)
Download or read book Artificial Neural Nets and Genetic Algorithms written by David W. Pearson and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2003 edition of ICANNGA marks a milestone in this conference series, because it is the tenth year of its existence. The series began in 1993 with the inaugural conference at Innsbruck in Austria. At that first conference, the organisers decided to organise a similar scientific meeting every two years. As a result, conferences were organised at Ales in France (1995), Norwich in England (1997), Portoroz in Slovenia (1999) and Prague in the Czech Republic (2001). It is a great honour that the conference is taking place in France for the second time. Each edition of ICANNGA has been special and had its own character. Not only that, participants have been able to sample the life and local culture in five different European coun tries. Originally limited to neural networks and genetic algorithms the conference has broadened its outlook over the past ten years and now includes papers on soft computing and artificial intelligence in general. This is one of the reasons why the reader will find papers on fuzzy logic and various other topics not directly related to neural networks or genetic algorithms included in these proceedings. We have, however, kept the same name, "International Conference on Artificial Neural Networks and Genetic Algorithms". All of the papers were sorted into one of six principal categories: neural network theory, neural network applications, genetic algorithm and evolutionary computation theory, genetic algorithm and evolutionary computation applications, fuzzy and soft computing theory, fuzzy and soft computing applications.
Author : Laha, Dipak
Publisher : IGI Global
ISBN 13 : 1599045842
Total Pages : 516 pages
Book Rating : 4.5/5 (99 download)
Download or read book Handbook of Computational Intelligence in Manufacturing and Production Management written by Laha, Dipak and published by IGI Global. This book was released on 2007-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.
Author : Maria Marinaro
Publisher : Springer Science & Business Media
ISBN 13 : 1447115201
Total Pages : 338 pages
Book Rating : 4.4/5 (471 download)
Download or read book Neural Nets WIRN VIETRI-97 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 : COLT
Publisher : Morgan Kaufmann
ISBN 13 : 1483299147
Total Pages : 396 pages
Book Rating : 4.4/5 (832 download)
Download or read book COLT '91 written by COLT and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: COLT
Author : Stephen I. Gallant
Publisher : MIT Press
ISBN 13 : 9780262071451
Total Pages : 392 pages
Book Rating : 4.0/5 (714 download)
Download or read book Neural Network Learning and Expert Systems written by Stephen I. Gallant and published by MIT Press. This book was released on 1993 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Author : Joaquim Marques de Sá
Publisher : Springer
ISBN 13 : 3540746900
Total Pages : 999 pages
Book Rating : 4.5/5 (47 download)
Download or read book Artificial Neural Networks - ICANN 2007 written by Joaquim Marques de Sá and published by Springer. This book was released on 2007-09-14 with total page 999 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, September 2007. Coverage includes advances in neural network learning methods, advances in neural network architectures, neural dynamics and complex systems, data analysis, evolutionary computing, agents learning, as well as temporal synchronization and nonlinear dynamics in neural networks.
Author : Sandro Skansi
Publisher : Springer
ISBN 13 : 3319730045
Total Pages : 196 pages
Book Rating : 4.3/5 (197 download)
Download or read book Introduction to Deep Learning written by Sandro Skansi and published by Springer. This book was released on 2018-02-04 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website. Topics and features: introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning; discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network; examines convolutional neural networks, and the recurrent connections to a feed-forward neural network; describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning; presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism. This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology.
