Soft computing methods such as neural networks and genetic
algorithms draw on the problem solving strategies of the natural
world which differ fundamentally from the mathematically-based
computing methods normally used in engineering. Human brains are
highly effective computers with capabilities far beyond those of
the most sophisticated electronic computers. The 'soft computing'
methods they use can solve very difficult inverse problems based on
reduction in disorder. This book outlines these methods and applies
them to a range of difficult engineering problems, including
applications in computational mechanics, earthquake engineering,
and engineering design. Most of these are difficult inverse
problems - especially in engineering design - and are treated in
depth.
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