With the advancement of computers, the use of modeling to reduce
time and expense, and improve process optimization, predictive
capability, process automation, and control possibilities, is now
an integral part of food science and engineering. New technology
and ease of use expands the range of techniques that scientists and
researchers have at their disposal making it increasingly important
for the user to be aware of and have a good working knowledge of
the alternatives.
Unique in its scope, the Handbook of Food and Bioprocess
Modeling Techniques provides a comprehensive overview of the
modeling options available to today's researcher. The book covers a
wide range of topics including transport processes, reaction
kinetics, probabilistic modeling, data mining, neural network and
genetic algorithms. Both mesoscale and macroscale modeling are
covered. Each chapter is complete with a clear, succinct
description of a specific modeling technique, followed by detailed
examples of the utilization, application, benefits, and limitations
of the technique described. By having both physics-based and
observation-based models explained in one place, the researcher can
find not only the most appropriate tool or combination of tools for
the application, but also those that best suit the technical
expertise of the personnel involved. The book emphasizes problem
formulation and explains the choice and structure of the modeling
technique from an application point of view, making it exceedingly
practical and easy-to-use. The international panel of authors and
contributors ensures the quality of the individual chapters and the
usefulness of the information across wide-ranging food products
andprocesses.
An indispensable resource for the full range of contemporary
modeling techniques, the Handbook of Food and Bioprocess Modeling
Techniques provides food and bioprocess researchers in industry and
academia with an invaluable comprehensive working reference.
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