Springer Handbook of Computational Intelligence (Springer Handbooks) 2015th Edition by Janusz Kacprzyk (PDF)

Description

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.

User’s Reviews

Editorial Reviews: Review “This is not just a hand book but an encyclopedia/reference tool for computer scientists, engineers (bio, neuro, electric), and physicists dealing with complex mathematical problems. It describes the basic principles, theories, and historical development of Logic, computational sciences, EE, and neurophysiological background for modeling.” (Joseph J. Grenier, Amazon.com, April, 2016) From the Back Cover This is the first book covering the basics and the state of the art and important applications of the complete growing discipline of computational intelligence. This comprehensive handbook presents a unique synergy of various approaches and new qualities to be gained by using hybrid approaches, incl. inspirations from biology and living organisms and animate systems. The text is organized in 7 main parts foundations, fuzzy sets, rough sets, evolutionary computation, neural networks, swarm intelligence and hybrid computational intelligence systems. About the Author Janusz Kacprzyk is editor in chief of the Springer series Studies in “Computational Intelligence”, “Studies in Fuzziness and Soft computing”, “Advances in Intelligent and Soft Computing” and “Intelligent Systems Reference Library”. He is the recent past president of the International Fuzzy Systems Association (IFSA) and recipient of the pioneer award of the IEEE Computational Intelligence Society.Witold Pedrycz is the Editor-in-Chief of IEEE Transactions on Systems Man and Cybernetics-part A, Editor-in-Chief of the journal “Information Sciences” (Wiley) and Associate Editor of the IEEE Transactions on Fuzzy Systems. Witold Pedrycz is a recipient of the prestigious Norbert Wiener award from the IEEE Society of Systems, Man and Cybernetics. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Exciting handbook.

⭐Springer Handbook of Computational IntelligenceSpringer New York Berlin HeidelbergRe: Joseph Grenier MD PhDThis is not just a hand book but an encyclopedia/reference tool for computer scientists, engineers (bio, neuro, electric), and physicists dealing with complex mathematical problems. It describes the basic principles, theories, and historical development of Logic, computational sciences, EE, and neurophysiological background for modeling. The history and evolution of philosophical logic, fuzzy, morphic and set theory, statistics inc. probability, series, morphology. Single neuron, populational systems neuroscience, and network theory is covered. This is pursued from the angle of electrical engineering. An understanding of advanced algebra, series, set theory, matrices, calculus, partial differential equations, and logic from the mathematical viewpoints are covered. There is overlap in the chapters with some of the essential material repeated from chapter to chapter. The historical development of ideas is covered. Computational intelligence includes advanced machine learning. The first half of the book lays the groundwork with definitions, algorithms, theorems, corollaries, conjectures, and conclusions with biological applications as well as network concepts. Evolutionary computation is developed in several of the more advanced chapters.This book is only meant for the most specialized computational scientists. An understanding of Fortran and other symbolic applications is essential to benefit from this book. Students and fellows will be better off learning from other Neural Engineering textbooks first. Christof Koch, Sejnowski’s work, Arbib’s texts, etc. should be consulted first..

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