This book is an organized edited collection of twenty-one contributed chapters
covering nuclear engineering applications of fuzzy systems, neural networks,
genetic algorithms and other soft computing techniques. All chapters are either
updated review or original contributions by leading researchers written
exclusively for this volume. The volume highlights the advantages of applying
fuzzy systems and soft computing in nuclear engineering, which can be viewed as
complementary to traditional methods. As a result, fuzzy sets and soft computing
provide a powerful tool for solving intricate problems pertaining in nuclear
engineering. Each chapter of the book is self-contained and also indicates the
future research direction on this topic of applications of