✦ LIBER ✦

Practical applications of artificial neural networks in chemical process development

✍ Scribed by David E. McAnany

Book ID: 107759955
Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 327 KB
Volume: 32
Category: Article
ISSN: 0019-0578
DOI: 10.1016/0019-0578(93)90066-6

No coin nor oath required. For personal study only.

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Arti®cial neural networks are widely accepted as a technology oering an alternative way to tackle complex and ill-de®ned problems. They can learn from examples, are fault tolerant in the sense that they are able to handle noisy and incomplete data, are able to deal with non-linear problems and, once