Neural Networks in Bioprocessing and Chemical Engineering
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Neural networks are computer programs initially developed to mimic the function of brain.
They are characterized by their ability to learn from past experiences. The superwised backpropagation learning procedure presented in the late s opened up the way to practical engineering applications involving dynamic, highly non-linear systems.
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Neural networks have been demonstrated to be a powerful tool in control, estimation, fault detection, time-series analysis, etc. Unable to display preview. Download preview PDF. Skip to main content.
Neural Networks in Bioprocess Engineering
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Borron, J. Putting Fuzzy logic into focus. Byte , , 18 4 , — In summary, this is an excellent introductory text on neural networks for use in bioprocessing and chemical engineering applications. The book could be used in either a senior undergraduate or graduate engineering course.
The authors have blended theory and practice to create a very useful text that offers ideas for future research, yet also can be used in a pragmatic way to design neural networks.
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This is one of the best books that I have read on the topic of neural computing in engineering. Ir a Amazon. Gana dinero con nosotros. Todos los derechos reservados.