Neural networks in bioprocessing and chemical engineering /

Neural 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 foc...

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Bibliographic Details
Main Authors: Baughman, D. Richard
Corporate Authors: Elsevier Science & Technology.
Group Author: Liu, Y. A. (Yih An)
Published: Academic Press,
Publisher Address: San Diego :
Publication Dates: 1995.
Literature type: eBook
Language: English
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9780120830305
Summary: Neural 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.
Carrier Form: 1 online resource (xix, 488 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 0120830302
9780120830305
Index Number: TP248
CLC: TQ02-39