000			02103cam a22003618i 4500
001			42261
003			0000000000
005			20240411193041.0
008			180108s2018 flu s 000 0 eng
010			_a 2017059785
020			_a9781498745673 (hardback)
020			_z9781498745680 (ebook)
035			_a20251392
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aTA345 _b.G49 2018
082	0	0	_a620.00285/63 _223
100	1		_aGhaboussi, J., _eauthor.
245	1	0	_aSoft computing in engineering / _cJamshid Ghaboussi.
263			_a1808
264		1	_aBoca Raton : _bTaylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, _c2018
300			_apages cm
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_aSoft 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
650		0	_aEngineering mathematics.
650		0	_aEngineering _xData processing.
650		0	_aSoft computing.
856			_uhttps://drive.google.com/file/d/1hbpduwE7W9BpUqS7b3PVvMayFxQ6Z81x/view?usp=sharing
999			_c12330 _d12330