This book and disk set introduces the fundamentals necessary toapply fuzzy systems, neural networks, and integrated "neurofuzzy"technology to engineering problems using MATLAB. Whether used onits own or as a companion to Fuzzy and Neural Approaches inEngineering by Lefteri H. Tsoukalas and Robert E. Uhrig (Wiley1997), it takes readers step by step from theory to codedevelopment and implementation--enabling students andresearchers to explore the new frontiers in soft computing. The Supplement features:* A practical introduction to MATLAB, plus lists of online andother available resources* MATLAB code demonstrations of theory and architecturesdiscussed in Fuzzy and Neural Approaches in Engineering* Foundations of fuzzy approaches and relationships, fuzzynumbers, and fuzzy control* Fundamentals of competitive, associative, and dynamic neuralnetworks and neural control systems* Practical coverage of neural methods in fuzzy systems and otherhybrid neurofuzzy systems and applications. System requirements for IBM-compatible disk:* 486 processor (Pentium recommended)* 8 MB of RAM (16 MB recommended)* 5 MB hard disk space* MATLAB--student or professional edition* Microsoft Word 6.0 or 7.0.
