This document discusses applications of soft computing techniques. It describes some key advantages of soft computing like modeling human reasoning and being comprehensible. It then outlines several applications of neural networks, fuzzy logic, and genetic algorithms in areas like control, business, finance, and others. Specific examples of soft computing applications covered in the chapter include combining multispectral and SAR images for flood analysis, using a genetic algorithm to optimize the traveling salesman problem, and developing soft computing based hybrid fuzzy controllers and rocket engine control systems.
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