Neural Networks And Computing

Author : Ragav Venkatesan,Baoxin Li
Publisher : CRC Press
Page : 204 pages
File Size : 48,7 Mb
Release : 2017-10-23
Category : Computers
ISBN : 9781351650328

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Convolutional Neural Networks in Visual Computing by Ragav Venkatesan,Baoxin Li Pdf

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.

Author : Ramachandran Bharath,James Drosen
Publisher : McGraw-Hill Companies
Page : 212 pages
File Size : 54,5 Mb
Release : 1994
Category : Computers
ISBN : UOM:39076001511950

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Neural Network Computing by Ramachandran Bharath,James Drosen Pdf

An introduction to neural networking for systems designers, software developers, programmers, and advanced hobbyists. The authors explain how "brain-style" computing will revolutionize information processing in the 21st century. The disk includes programs for simulating artificial neural networks.

Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
Page : 237 pages
File Size : 42,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461536420

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Neural Network Parallel Computing by Yoshiyasu Takefuji Pdf

Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

Author : Lionel Tarassenko
Publisher : Elsevier
Page : 160 pages
File Size : 52,8 Mb
Release : 1998-01-30
Category : Computers
ISBN : 9780080512600

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Guide to Neural Computing Applications by Lionel Tarassenko Pdf

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
Publisher : Academic Press
Page : 472 pages
File Size : 42,7 Mb
Release : 2014-05-10
Category : Computers
ISBN : 9781483264844

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Handbook of Neural Computing Applications by Alianna J. Maren,Craig T. Harston,Robert M. Pap Pdf

Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.

Author : Gustavo Deco,Dragan Obradovic
Publisher : Springer Science & Business Media
Page : 265 pages
File Size : 49,5 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 : Zhang, Ming
Publisher : IGI Global
Page : 660 pages
File Size : 48,5 Mb
Release : 2010-02-28
Category : Computers
ISBN : 9781615207121

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Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications by Zhang, Ming Pdf

"This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Author : R Beale,T Jackson
Publisher : CRC Press
Page : 260 pages
File Size : 40,9 Mb
Release : 1990-01-01
Category : Mathematics
ISBN : 1420050435

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Neural Computing - An Introduction by R Beale,T Jackson Pdf

Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.

Author : Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
Publisher : Academic Press
Page : 398 pages
File Size : 53,8 Mb
Release : 2023-10-27
Category : Computers
ISBN : 9780323958165

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Artificial Intelligence in the Age of Neural Networks and Brain Computing by Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito Pdf

Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

Author : Tommy W. S. Chow,Siu-Yeung Cho
Publisher : Imperial College Press
Page : 322 pages
File Size : 45,7 Mb
Release : 2007
Category : Computers
ISBN : 9781860949692

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Neural Networks and Computing by Tommy W. S. Chow,Siu-Yeung Cho Pdf

This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area. Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets. It also contains several interesting IT, engineering and bioinformatics applications.

Author : Philip D. Wasserman
Publisher : Van Nostrand Reinhold Company
Page : 280 pages
File Size : 55,8 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015029904201

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Advanced Methods in Neural Computing by Philip D. Wasserman Pdf

This is the engineer's guide to artificial neural networks, the advanced computing innovation which is posed to sweep into the world of business and industry. The author presents the basic principles and advanced concepts by means of high-performance paradigms which function effectively in real-world situations.

Author : Igor Aleksander,Helen Morton
Publisher : Unknown
Page : 322 pages
File Size : 55,6 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015034899974

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An Introduction to Neural Computing by Igor Aleksander,Helen Morton Pdf

The second edition of this text has been updated and includes material on new developments including neurocontrol, pattern analysis and dynamic systems. The book should be useful for undergraduate students of neural networks.

Author : Sankar Kumar Pal,Lech Polkowski
Publisher : Springer Science & Business Media
Page : 741 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642188596

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Rough-Neural Computing by Sankar Kumar Pal,Lech Polkowski Pdf

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 44,7 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9781908979377

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Neural Networks and Computing by Anonim Pdf

Author : Haijun Zhang,Zhao Zhang,Zhou Wu,Tianyong Hao
Publisher : Springer Nature
Page : 542 pages
File Size : 54,7 Mb
Release : 2020-08-12
Category : Computers
ISBN : 9789811576706

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Neural Computing for Advanced Applications by Haijun Zhang,Zhao Zhang,Zhou Wu,Tianyong Hao Pdf

This book presents refereed proceedings of the First International Conference on Neural Computing for Advanced Applications, NCAA 2020, held in July, 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full papers and 7 short papers were thorougly reviewed and selected from a total of 113 qualified submissions. The papers present resent research on such topics as neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, and natural language processing, machine translation, knowledge graphs, and their applications.