Artificial Neural Networks in Chemical Engineering

Released on by Angelo Basile
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  • Artificial Neural Networks in Chemical Engineering Book Detail

  • Author : Angelo Basile
  • Release Date : 2017
  • Publisher : Nova Science Publishers
  • Genre : Technology & Engineering
  • Pages : 0
  • ISBN 13 : 9781536118445
  • File Size : 65,65 MB
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Artificial Neural Networks in Chemical Engineering by Angelo Basile PDF Summary

Book Description: This book introduces readers to the Artificial Neural Network (ANN) and Hybrid Neural (HN) models: two effective tools, which can be exploited to design and control industrial processes. Different topics including modeling, simulation and process design are covered. More efficient analyses and descriptions of real case studies, ranging from membrane technology to the obtaining of second-generation biofuels are also provided. One of the major advantages of the described techniques is represented by the possibility of obtaining accurate predictions of complex systems, whose behaviors might be difficult to describe by conventional first-principle models. One of the major impacts of the present book is to show the true interactions and interconnectivities among different topics belonging to chemical, bio-chemical engineering, energy, bio-processes and bio-technique research fields. Some of the main goals are here are to provide a deep and detailed knowledge about the main features of both ANN and HN models, and to iterate possible topologies to integrate in these ANN and mechanistic models; to cover a wide spectrum of different problems as well as innovative and unconventional modeling techniques; to show how various kinds of advanced models can be exploited either to predict the behavior or to optimize the performance of real processes.

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