[PDF] Download: principles of neurocomputing for science and engineering eBook

Author: Fredric M. Ham
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN:
Size: 35.30 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 642
View: 7655

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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.

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Author: Allen Kent
Publisher: CRC Press
ISBN: 9780824722753
Size: 29.48 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 416
View: 840

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"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."

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Author: Janusz Kacprzyk
Publisher: Springer
ISBN: 3662435055
Size: 37.55 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 1634
View: 6820

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The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

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Author: Khalid, Saifullah
Publisher: IGI Global
ISBN: 1522531300
Size: 65.78 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 340
View: 6118

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Although computational intelligence and soft computing are both well-known fields, using computational intelligence and soft computing in conjunction is an emerging concept. This combination can effectively be used in practical areas of various fields of research. Applied Computational Intelligence and Soft Computing in Engineering is an essential reference work featuring the latest scholarly research on the concepts, paradigms, and algorithms of computational intelligence and its constituent methodologies such as evolutionary computation, neural networks, and fuzzy logic. Including coverage on a broad range of topics and perspectives such as cloud computing, sampling in optimization, and swarm intelligence, this publication is ideally designed for engineers, academicians, technology developers, researchers, and students seeking current research on the benefits of applying computation intelligence techniques to engineering and technology.

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Author: Steven L. Brunton
Publisher: Cambridge University Press
ISBN: 1108422098
Size: 14.26 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 500
View: 2767

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This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

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Author: Sasaki, Hideyasu
Publisher: IGI Global
ISBN: 1599047640
Size: 21.66 MB
Format: PDF, ePub
Category : Education
Languages : en
Pages : 482
View: 1349

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Since previously published intellectual property law and business research discusses institutional analyses without interdisciplinary insights by technical experts, and technical references tend to concern engineering solutions without considering the social impact of institutional protection of multimedia digital information, there is a growing demand for a resource that bridges the gap between multimedia intellectual property protection law and technology. Intellectual Property Protection for Multimedia Information Technology provides scholars, management professionals, researchers, and lawyers in the field of multimedia information technology and its institutional practice with thorough coverage of the full range of issues surrounding multimedia intellectual property protection and its proper solutions from institutional, technical, and legal perspectives.

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Author: Bipin Kumar Tripathi
Publisher: Springer
ISBN: 8132220749
Size: 73.37 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 165
View: 5566

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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.

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Author: P-Z Wang
Publisher: World Scientific
ISBN: 9814602299
Size: 66.65 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 404
View: 3847

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The “Fuzzy Explosion” emanating from Japan has compelled more people than ever to ponder the meaning and potential of fuzzy engineering. Scientists all over are now beginning to harness the power of fuzzy recognition and decision-making — reminescent of the way the human mind works — in computer applications. In this book a blue-ribbon list of contributors discusses the latest developments in topics such as possibility logic programming, truth-valued flow inference, fuzzy neural-logic networks and default knowledge representation. This volume is the first in a series aiming to document advances in fuzzy set theory and its applications. Contents:Foreword (L Zadeh)Preface (P-Z Wang & K-F Loe)Hypothetical Reasoning in Possibilistic Logic: Basic Notions, Applications and Implementation Issues (S Benferhat et al.)An Automatic Start-Up and Shut-Down Control of a Drum-Type Boiler Using Fuzzy Logic (Z Bien et al.)Applicability of the Fuzzy Controller (J J Buckley)Fuzzy Representation and Inference Methods (I B Turksen)Fuzzy Neural-Logic Networks (S C Chan et al.)I-Fuzzy Structure: The World of Strictly Monotonous Norms (L T Kóczy)Fuzzy Decision Making: A Survey (P-T Chang & E S Lee)Fuzzy Topology Stratifications and Category Theory (Y-M Liu)Foundations of Fuzzy Logic Programming (M Mukaidono & H Kikuchi)Optimization of Fuzzy Models for System Analysis, Pattern Recognition and Knowledge Engineering (W Pedrycz)Non Standard Fuzzy Arithmetic (E Sanchez)Fuzzy Random Dynamic Systems (G-Y Wang & J-P Ou)Truth Valued Flow Inference and Its Mathematical Theory (P-Z Wang & H-M Zhang)Default Knowledge Representation in the Theory of Approximate Reasoning: An Implementation (H Scarpelli et al.). Readership: Computer scientists. Keywords:Fuzzy Science;Fuzzy Engineering;Knowledge Representation;Fuzzy Representation;Fuzzy Neural Networks;Fuzzy Control;Fuzzy Structure;Fuzzy Decision Making;Fuzzy Logic Programming;Fuzzy Modeling;Hypothetical Reasoning;Truth-Valued Inference;Fuzzy Random Dynamic Systems;Fuzzy Topology;Possibilistic LogicReviews: “Between Mind and Computers presents a wealth of information about fuzzy logic and its applications. In my view, it is a must-read for everyone who is interested in developing a thorough understanding of the theory and an up-to-date familiarity with its applications.” Foreword by Lotfi A Zadeh University of California, Berkeley

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Author: Ramón Quiza
Publisher: Springer Science & Business Media
ISBN: 3642280846
Size: 12.24 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 95
View: 7638

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Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

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Author: Kai Hwang
Publisher: MIT Press
ISBN: 026203641X
Size: 50.35 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 624
View: 5606

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The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies.

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Author: B. YEGNANARAYANA
Publisher: PHI Learning Pvt. Ltd.
ISBN: 9788120312531
Size: 24.86 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 476
View: 928

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Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks. Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial neural networks for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world applications provides a practical thrust to the discussion.

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Author: Sanchita Ghosh
Publisher: Springer
ISBN: 3642309976
Size: 54.52 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 236
View: 6799

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Call Admission Control (CAC) and Dynamic Channel Assignments (DCA) are important decision-making problems in mobile cellular communication systems. Current research in mobile communication considers them as two independent problems, although the former greatly depends on the resulting free channels obtained as the outcome of the latter. This book provides a solution to the CAC problem, considering DCA as an integral part of decision-making for call admission. Further, current technical resources ignore movement issues of mobile stations and fluctuation in network load (incoming calls) in the control strategy used for call admission. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently. CAC here has been formulated by two alternative approaches. The first approach aimed at handling the uncertainty in the CAC problem by employing fuzzy comparators. The second approach is concerned with formulation of CAC as an optimization problem to minimize call drop, satisfying a set of constraints on feasibility and availability of channels, hotness of cells, and velocity and angular displacement of mobile stations. Evolutionary techniques, including Genetic Algorithm and Biogeography Based Optimization, have been employed to solve the optimization problems. The proposed approaches outperform traditional methods with respect to grade and quality of services.

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Author: Robert Kozma
Publisher: Academic Press
ISBN: 0128162503
Size: 58.42 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 352
View: 5484

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Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing 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 future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. 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

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Author: Michael A. Arbib
Publisher: MIT Press
ISBN: 0262011972
Size: 55.23 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 1290
View: 3228

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This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions: how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

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