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.