Artificial Neural Networks: An Emerging Technique To Model And Control Mineral Processing Plants

Society for Mining, Metallurgy & Exploration
Daniel Hodouin
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
19
File Size:
607 KB
Publication Date:
Jan 1, 1991

Abstract

Artificial neural networks (ANN) are of growing interest in a wide variety of applications. Pattern recognition, speech processing, financial analysis, signal processing and process control are at present the most successful ones. This paper is an attempt to illustrate the potentiality of ANN applied to mineral processing. An introduction to the technology of ANN is first proposed to describe the various components and to explain the various phases encountered in setting up a network. Then examples are given to illustrate the use of ANN dynamic modelling of mineral processing units or plants and in process control.
Citation

APA: Daniel Hodouin  (1991)  Artificial Neural Networks: An Emerging Technique To Model And Control Mineral Processing Plants

MLA: Daniel Hodouin Artificial Neural Networks: An Emerging Technique To Model And Control Mineral Processing Plants. Society for Mining, Metallurgy & Exploration, 1991.

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