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Applications of Neural Computing for Process Chemists: I. Introduction to Neural Network

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D. Mukesh

Alchemie Research Center, Thane Belapur Rd., Thane-400601, India

J. Chem. Educ., 1996, 73 (5), p 431

DOI: 10.1021/ed073p431

Publication Date (Web): May 1, 1996

Section:

History, Education, and Documentation

Abstract

This two part paper describes neural network modeling for chemists. While the first part of the paper covers the fundamentals, in the second part the technique is applied to solve two problems relevant to chemists namely, modeling and optimization of a chemical process and curve fitting. A comparative study of neural computing with statistical regression technique is also carried out.

Keywords (Audience):

Second-Year Undergraduate

Keywords (Domain):

Biochemistry

Keywords (Feature):

Computer Series

Keywords (Pedagogy):

Computer-Based Learning

Keywords (Subject):

Chemometrics

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Received: August 03, 2009

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Applications of Neural Computing for Process Chemists: I. Introduction to Neural Network

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Applications of Neural Computing for Process Chemists: II. Examples

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