NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM write by S. RAJASEKARAN. This book was released on 2003-01-01. NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM available in PDF, EPUB and Kindle. This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.
Introduction to Neural Networks, Fuzzy Logic & Genetic Algorithms
Introduction to Neural Networks, Fuzzy Logic & Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Neural Networks, Fuzzy Logic & Genetic Algorithms write by Sudarshan K. Valluru. This book was released on 2010. Introduction to Neural Networks, Fuzzy Logic & Genetic Algorithms available in PDF, EPUB and Kindle.
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms write by Lakhmi C. Jain. This book was released on 2020-01-29. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms available in PDF, EPUB and Kindle. Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering write by Nikola K. Kasabov. This book was released on 1996. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering available in PDF, EPUB and Kindle. Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
Intelligent Hybrid Systems
Intelligent Hybrid Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Hybrid Systems write by Da Ruan. This book was released on 2012-12-06. Intelligent Hybrid Systems available in PDF, EPUB and Kindle. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.
