Applications of neural networks in chemical engineering

Type :

Term papers

Pages :

7 pages

Format :

.doc

Published date :

04/08/2009

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Summary :

 
 

Table of Contents Applications of neural networks in chemical engineering Table of Contents

 
  1. Introduction
  2. Neural networks as simplified models of biological nervous system
  3. The literature review
    1. The theory
    2. Models of artificial neural networks
  4. Materials and methods of the study
  5. Specific remarks
  6. Conclusion
  7. List of nomenclature
  8. References

Abstract

neural networks, which are simplified models of the biological nervous system, is a massively parallel distributed processing system made up of highly interconnected neural computing elements that have the ability to learn and there by require knowledge and make it available for use. neural networks are simplified imitations of the central nervous system, and obviously therefore have been motivated by the kind of computing performed by the human brain. The structural constituents of the human brain termed Neurons are the entities, which perform computations such as cognition, logical inference, pattern recognition....etc. Hence the technology which has been built on a simplified imitation of computing by neurons of a brain, has been termed Artificial neural systems technology or Artificial neural networks or simply neural networks.

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