Neural Networks in Bioprocessing and Chemical Engineering

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Neural networks are computer programs initially developed to mimic the function of brain.

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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.