000			01698nam a22002537a 4500
999			_c55375 _d55375
008			210810b ||||| |||| 00| 0 eng d
020			_a9780120830305
082			_a660.6028563 _bBAU
100			_aBaughman, D. R.
245			_aNeural networks in bioprocessing and chemical engineering
260			_aSan Dieogo: _bAcademic Press, _c1995.
300			_axix, 487p. : ill. ; _bhb. ; _c26cm.
365			_aGratis _bGratis
504			_aIncludes references and index
520			_aNeural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book
650			_aNeural computers
650			_aBiotechnological process control
650			_aChemical process control
650			_aBiotechnology
650			_aChemical Engineering
650			_aBioinformatics
700			_aLiu, Y. A. _eCo-author
942			_cTD