Principles Of Neurocomputing For Science And Engineering

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Principles of Neurocomputing for Science and Engineering

Author : Frederic M. Ham
Publisher :
ISBN 13 : 9780071181617
Total Pages : 672 pages
Book Rating : 4.1/5 (816 download)

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Book Synopsis Principles of Neurocomputing for Science and Engineering by : Frederic M. Ham

Download or read book Principles of Neurocomputing for Science and Engineering written by Frederic M. Ham and published by . This book was released on 2001 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting new text covers artificial neural networks, but more specifically, neurocomputing. Neurocomputing is concerned with processing information, which involves a learning process within an artificial neural network architecture. This neural architecture responds to inputs according to a defined learning rule and then the trained network can be used to perform certain tasks depending on the application. Neurocomputing can play an important role in solving certain problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis. "Principles of Neurocomputing for Science and Engineering," unlike other neural networks texts, is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm. The book is primarily intended for graduate-level neural networks courses, but in some instances may be used at the undergraduate level. The book includes many detailed examples and an extensive set of end-of-chapter problems.

Principles of Neurocomputing for Science and Engineering

Author : Fredric M. Ham
Publisher : McGraw-Hill Science, Engineering & Mathematics
ISBN 13 :
Total Pages : 680 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Principles of Neurocomputing for Science and Engineering by : Fredric M. Ham

Download or read book Principles of Neurocomputing for Science and Engineering written by Fredric M. Ham and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 2000 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Neural Networks - ISNN 2006

Author : Jun Wang
Publisher : Springer Science & Business Media
ISBN 13 : 3540344829
Total Pages : 1429 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Neural Networks - ISNN 2006 by : Jun Wang

Download or read book Advances in Neural Networks - ISNN 2006 written by Jun Wang and published by Springer Science & Business Media. This book was released on 2006-05-11 with total page 1429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Volume III of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

Focus on Materials Science Research

Author : Dita V. Rosse
Publisher : Nova Publishers
ISBN 13 : 9781600213991
Total Pages : 302 pages
Book Rating : 4.2/5 (139 download)

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Book Synopsis Focus on Materials Science Research by : Dita V. Rosse

Download or read book Focus on Materials Science Research written by Dita V. Rosse and published by Nova Publishers. This book was released on 2007 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Materials science includes those parts of chemistry and physics that deal with the properties of materials. It encompasses four classes of materials, the study of each of which may be considered a separate field: metals; ceramics; polymers and composites. Materials science is often referred to as materials science and engineering because it has many applications. Industrial applications of materials science include processing techniques (casting, rolling, welding, ion implantation, crystal growth, thin-film deposition, sintering, glassblowing, etc.), analytical techniques (electron microscopy, x-ray diffraction, calorimetry, nuclear microscopy (HEFIB) etc.), materials design, and cost/benefit tradeoffs in industrial production of materials. This book presents new research directions in a very new field which happens to be an old field as well.

Advances in Neural Network Research and Applications

Author : Zhigang Zeng
Publisher : Springer Science & Business Media
ISBN 13 : 3642129900
Total Pages : 921 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Neural Network Research and Applications by : Zhigang Zeng

Download or read book Advances in Neural Network Research and Applications written by Zhigang Zeng and published by Springer Science & Business Media. This book was released on 2010-05-10 with total page 921 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

Advances in Neural Networks - ISNN 2008

Author : Fuchun Sun
Publisher : Springer Science & Business Media
ISBN 13 : 3540877339
Total Pages : 876 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Advances in Neural Networks - ISNN 2008 by : Fuchun Sun

Download or read book Advances in Neural Networks - ISNN 2008 written by Fuchun Sun and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: (Bayreuth University, Germany), Jennie Si (Arizona State University, USA), and Hang Li (MicrosoftResearchAsia, China). Besides the regularsessions andpanels, ISNN 2008 also featured four special sessions focusing on some emerging topics.

Advances in Meat Processing Technology

Author : Alaa El-Din A. Bekhit
Publisher : CRC Press
ISBN 13 : 1315354667
Total Pages : 657 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Advances in Meat Processing Technology by : Alaa El-Din A. Bekhit

Download or read book Advances in Meat Processing Technology written by Alaa El-Din A. Bekhit and published by CRC Press. This book was released on 2017-09-29 with total page 657 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meat is a unique biological material with a central importance in nutrition and health. Advances in Meat Processing Technology merges the expertise of meat scientists and food engineers in a holistic approach toward the processing of meat. The meat industry strives to deliver consistent high quality and safe meat products. Readers can benefit from knowledge generated by meat science researchers by achieving a greater understanding of the nature of meat, and the engineering technology required for meat processing. This book comprises 17 full chapters that provide up-to-date and fundamental information on current topics in meat processing. This inculdes novel technologies, such as the application of pulsed electric field, meat stretching and shaping, ultrasound and high pressure. In addition, analytical techniques such as Raman spectroscopy and NMR are enabling considerable advancement of knowledge in meat science and in meat processing. Written by world renowned experts in their fields, this contemporary collective work assembles the state of current knowledge that is of importance to both industry and academia.

Neural Information Processing

Author : Masumi Ishikawa
Publisher : Springer
ISBN 13 : 3540691626
Total Pages : 1091 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Neural Information Processing by : Masumi Ishikawa

Download or read book Neural Information Processing written by Masumi Ishikawa and published by Springer. This book was released on 2008-06-29 with total page 1091 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.

Neural Information Processing

Author : Minho Lee
Publisher : Springer Science & Business Media
ISBN 13 : 364210682X
Total Pages : 916 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Neural Information Processing by : Minho Lee

Download or read book Neural Information Processing written by Minho Lee and published by Springer Science & Business Media. This book was released on 2009-11-24 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 5863 and 5864 constitute the proceedings of the 16th International Conference on Neural Information Processing, ICONIP 2009, held in Bangkok, Thailand, in December 2009. The 145 regular session papers and 53 special session papers presented were carefully reviewed and selected from 466 submissions. The papers are structured in topical sections on cognitive science and computational neuroscience, neurodynamics, mathematical modeling and analysis, kernel and related methods, learning algorithms, pattern analysis, face analysis and processing, image processing, financial applications, computer vision, control and robotics, evolutionary computation, other emerging computational methods, signal, data and text processing, artificial spiking neural systems: nonlinear dynamics and engineering applications, towards brain-inspired systems, computational advances in bioinformatics, data mining for cybersecurity, evolutionary neural networks: theory and practice, hybrid and adaptive systems for computer vision and robot control, intelligent data mining, neural networks for data mining, and SOM and related subjects and its applications.

Type-2 Fuzzy Neural Networks and Their Applications

Author : Rafik Aziz Aliev
Publisher : Springer
ISBN 13 : 3319090720
Total Pages : 190 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Type-2 Fuzzy Neural Networks and Their Applications by : Rafik Aziz Aliev

Download or read book Type-2 Fuzzy Neural Networks and Their Applications written by Rafik Aziz Aliev and published by Springer. This book was released on 2014-09-08 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Deep Neural Networks

Author : Yunong Zhang
Publisher : CRC Press
ISBN 13 : 042976099X
Total Pages : 340 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Deep Neural Networks by : Yunong Zhang

Download or read book Deep Neural Networks written by Yunong Zhang and published by CRC Press. This book was released on 2019-03-19 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet, and allows reader to extend the techniques in the book to solve scientific and engineering problems. The book will be of interest to engineers, senior undergraduates, postgraduates, and researchers in the fields of neuronets, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, simulation and modeling, deep learning, and data mining. Features Focuses on neuronet models, algorithms, and applications Designs, constructs, develops, analyzes, simulates and compares various WASD neuronet models, such as single-input WASD neuronet models, two-input WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations Includes real-world applications, such as population prediction Provides complete mathematical foundations, such as Weierstrass approximation, Bernstein polynomial approximation, Taylor polynomial approximation, and multivariate function approximation, exploring the close integration of mathematics (i.e., function approximation theories) and computers (e.g., computer algorithms) Utilizes the authors' 20 years of research on neuronets

Modeling of Metal Forming and Machining Processes

Author : Prakash Mahadeo Dixit
Publisher : Springer Science & Business Media
ISBN 13 : 1848001894
Total Pages : 599 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Modeling of Metal Forming and Machining Processes by : Prakash Mahadeo Dixit

Download or read book Modeling of Metal Forming and Machining Processes written by Prakash Mahadeo Dixit and published by Springer Science & Business Media. This book was released on 2008-05-14 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by authorities in the subject, this book provides a complete treatment of metal forming and machining by using the computational techniques FEM, fuzzy set theory and neural networks as modelling tools. The algorithms and solved examples included make this book of value to postgraduates, senior undergraduates, and lecturers and researchers in these fields. Research and development engineers and consultants for the manufacturing industry will also find it of use.

A First Course in Fuzzy and Neural Control

Author : Hung T. Nguyen
Publisher : CRC Press
ISBN 13 : 1420035525
Total Pages : 314 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis A First Course in Fuzzy and Neural Control by : Hung T. Nguyen

Download or read book A First Course in Fuzzy and Neural Control written by Hung T. Nguyen and published by CRC Press. This book was released on 2002-11-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of

Repetitive Motion Planning and Control of Redundant Robot Manipulators

Author : Yunong Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 3642375189
Total Pages : 196 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Repetitive Motion Planning and Control of Redundant Robot Manipulators by : Yunong Zhang

Download or read book Repetitive Motion Planning and Control of Redundant Robot Manipulators written by Yunong Zhang and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields. Yunong Zhang is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; Zhijun Zhang is a research fellow working at the same institute.

Advances in Neural Networks - ISNN 2009

Author : Wen Yu
Publisher : Springer
ISBN 13 : 3642015107
Total Pages : 1207 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Neural Networks - ISNN 2009 by : Wen Yu

Download or read book Advances in Neural Networks - ISNN 2009 written by Wen Yu and published by Springer. This book was released on 2009-05-21 with total page 1207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.

Advances in Neural Networks -- ISNN 2011

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3642211119
Total Pages : 661 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Neural Networks -- ISNN 2011 by : Derong Liu

Download or read book Advances in Neural Networks -- ISNN 2011 written by Derong Liu and published by Springer. This book was released on 2011-05-20 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Self-Learning and Adaptive Algorithms for Business Applications

Author : Zhengbing Hu
Publisher : Emerald Group Publishing
ISBN 13 : 1838671730
Total Pages : 98 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Self-Learning and Adaptive Algorithms for Business Applications by : Zhengbing Hu

Download or read book Self-Learning and Adaptive Algorithms for Business Applications written by Zhengbing Hu and published by Emerald Group Publishing. This book was released on 2019-06-25 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.