Fuzzy and Neural: Interactions and Applications

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Physica-Verlag HD, Jan 22, 1999 - Computers - 162 pages
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The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.

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About the author (1999)

James J. Buckley is Professor of Theology at Loyola College in Maryland. He is the author of "Seeking the Humanity of God. "Professors Jones and Buckley are the editors of "Modern Theology" and the General Editors of the series "Blackwell Readings in Modern Theology."

L. Gregory Jones is Professor at Duke University Divinity School. He is the author of three books, including most recently "Embodying Forgiveness.