Neural Networks In A Softcomputing Framework

Author : Ke-Lin Du,M.N.S. Swamy
Publisher : Springer Science & Business Media
Page : 610 pages
File Size : 51,7 Mb
Release : 2006-08-02
Category : Technology & Engineering
ISBN : 9781846283031

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Neural Networks in a Softcomputing Framework by Ke-Lin Du,M.N.S. Swamy Pdf

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.

Author : Anonim
Publisher : Unknown
Page : 566 pages
File Size : 47,9 Mb
Release : 2008-04-01
Category : Electronic
ISBN : 8181289536

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Neural Networks In A Softcomputing Framework by Anonim Pdf

Author : Anthony L. Caterini,Dong Eui Chang
Publisher : Springer
Page : 84 pages
File Size : 47,6 Mb
Release : 2018-03-22
Category : Computers
ISBN : 9783319753041

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Deep Neural Networks in a Mathematical Framework by Anthony L. Caterini,Dong Eui Chang Pdf

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the authors developed framework is both more concise and mathematically intuitive than previous representations of neural networks. This SpringerBrief is one step towards unlocking the black box of Deep Learning. The authors believe that this framework will help catalyze further discoveries regarding the mathematical properties of neural networks.This SpringerBrief is accessible not only to researchers, professionals and students working and studying in the field of deep learning, but also to those outside of the neutral network community.

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
Page : 935 pages
File Size : 47,5 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783790819021

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Neural Networks and Soft Computing by Leszek Rutkowski Pdf

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

Author : Mahmoud ElHefnawi,Mohamed Mysara
Publisher : BoD – Books on Demand
Page : 306 pages
File Size : 44,6 Mb
Release : 2012-03-30
Category : Computers
ISBN : 9789535104094

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Recurrent Neural Networks and Soft Computing by Mahmoud ElHefnawi,Mohamed Mysara Pdf

New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters.

Author : Rafik Aziz ogly Aliev,R. R. Aliev
Publisher : World Scientific
Page : 470 pages
File Size : 55,8 Mb
Release : 2001
Category : Computers
ISBN : 9810247001

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Soft Computing and Its Applications by Rafik Aziz ogly Aliev,R. R. Aliev Pdf

The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.

Author : Ajith Abraham,Bernard de Baets,Mario Köppen,Bertram Nickolay
Publisher : Springer Science & Business Media
Page : 838 pages
File Size : 46,6 Mb
Release : 2006-08-11
Category : Computers
ISBN : 9783540316626

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Applied Soft Computing Technologies: The Challenge of Complexity by Ajith Abraham,Bernard de Baets,Mario Köppen,Bertram Nickolay Pdf

This volume presents the proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications, held on the World Wide Web in 2004. It includes lectures, original papers and tutorials presented during the conference. The book brings together outstanding research and developments in soft computing, including evolutionary computation, fuzzy logic, neural networks, and their fusion, and its applications in science and technology.

Author : Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada
Publisher : Springer
Page : 227 pages
File Size : 44,8 Mb
Release : 2017-05-02
Category : Technology & Engineering
ISBN : 9783319571157

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Granular Neural Networks, Pattern Recognition and Bioinformatics by Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada Pdf

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.

Author : Zha, Xuan
Publisher : IGI Global
Page : 478 pages
File Size : 47,9 Mb
Release : 2006-10-31
Category : Computers
ISBN : 9781599042510

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Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications by Zha, Xuan Pdf

Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Author : Kisielnicki, Jerzy
Publisher : IGI Global
Page : 1842 pages
File Size : 53,6 Mb
Release : 2008-05-31
Category : Computers
ISBN : 9781599049564

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Virtual Technologies: Concepts, Methodologies, Tools, and Applications by Kisielnicki, Jerzy Pdf

"This publication presents incompassing research of the concepts and realities involved in the field of virtual communities and technologies"--Provided by publisher.

Author : Chi-Bin Cheng,Hsu-Shih Shih,E. Stanley Lee
Publisher : Springer
Page : 219 pages
File Size : 50,7 Mb
Release : 2018-12-14
Category : Technology & Engineering
ISBN : 9783319925257

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Fuzzy and Multi-Level Decision Making: Soft Computing Approaches by Chi-Bin Cheng,Hsu-Shih Shih,E. Stanley Lee Pdf

This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.

Author : Xinghuo Yu
Publisher : Springer
Page : 427 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9783540370086

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Applied Decision Support with Soft Computing by Xinghuo Yu Pdf

Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.

Author : Patrick Wong,Fred Aminzadeh,Masoud Nikravesh
Publisher : Physica
Page : 586 pages
File Size : 42,6 Mb
Release : 2013-11-11
Category : Science
ISBN : 9783790818079

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Soft Computing for Reservoir Characterization and Modeling by Patrick Wong,Fred Aminzadeh,Masoud Nikravesh Pdf

In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, "40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools," Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998; Y. Salamatov, "TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. " Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. " I really like two particular ones: "Principle 1: Segmentation," and Principle 15: Dynamicity. " "Segmentation" shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each part becomes small enough that it cannot be identified anymore.

Author : Okyay Kaynak,Lotfi A. Zadeh,Burhan Türksen,Imre J. Rudas
Publisher : Springer Science & Business Media
Page : 552 pages
File Size : 49,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642589300

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Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications by Okyay Kaynak,Lotfi A. Zadeh,Burhan Türksen,Imre J. Rudas Pdf

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.

Author : Emilio Corchado,Vaclav Snasael,Javier Sedano,Aboul Ella Hassanien,José Luis Calvo,Dominik Slezak
Publisher : Springer Science & Business Media
Page : 620 pages
File Size : 49,9 Mb
Release : 2011-03-04
Category : Technology & Engineering
ISBN : 9783642196447

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Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 by Emilio Corchado,Vaclav Snasael,Javier Sedano,Aboul Ella Hassanien,José Luis Calvo,Dominik Slezak Pdf

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2011 held in the beautiful and historic city of Salamanca, Spain, April 2011. This volume presents the papers accepted for the 2011 edition, both for the main event and the Special Sessions. SOCO 2011 Special Sessions are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Four special sessions were organized related to relevant topics as: Optimization and Control in Industry, Speech Processing and Soft Computing, Systems, Man & Cybernetics and Soft Computing for Medical Applications.