How Long to Read Neural Networks in Bioprocessing and Chemical Engineering

By D. R. Baughman

How Long Does it Take to Read Neural Networks in Bioprocessing and Chemical Engineering?

It takes the average reader 8 hours and 23 minutes to read Neural Networks in Bioprocessing and Chemical Engineering by D. R. Baughman

Assuming a reading speed of 250 words per minute. Learn more

Description

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. Each chapter contains an introduction, chapter summary, references to further reading, practice problems, and a section on nomenclature Includes a PC-compatible disk containing input data files for examples, case studies, and practice problems Presents 10 detailed case studies Contains an extensive glossary, explaining terminology used in neural network applications in science and engineering Provides examples, problems, and ten detailed case studies of neural computing applications, including: Process fault-diagnosis of a chemical reactor Leonard Kramer fault-classification problem Process fault-diagnosis for an unsteady-state continuous stirred-tank reactor system Classification of protein secondary-structure categories Quantitative prediction and regression analysis of complex chemical kinetics Software-based sensors for quantitative predictions of product compositions from flourescent spectra in bioprocessing Quality control and optimization of an autoclave curing process for manufacturing composite materials Predictive modeling of an experimental batch fermentation process Supervisory control of the Tennessee Eastman plantwide control problem Predictive modeling and optimal design of extractive bioseparation in aqueous two-phase systems

How long is Neural Networks in Bioprocessing and Chemical Engineering?

Neural Networks in Bioprocessing and Chemical Engineering by D. R. Baughman is 488 pages long, and a total of 125,904 words.

This makes it 165% the length of the average book. It also has 154% more words than the average book.

How Long Does it Take to Read Neural Networks in Bioprocessing and Chemical Engineering Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 28 minutes to read Neural Networks in Bioprocessing and Chemical Engineering aloud.

What Reading Level is Neural Networks in Bioprocessing and Chemical Engineering?

Neural Networks in Bioprocessing and Chemical Engineering is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Neural Networks in Bioprocessing and Chemical Engineering?

Neural Networks in Bioprocessing and Chemical Engineering by D. R. Baughman is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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