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The application of artificial neural networks to non-intrusive multi-phase metering

✍ Scribed by C.P. Sheppard; D. Russell

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
537 KB
Volume
1
Category
Article
ISSN
0967-0661

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This study investigates the potential of artificial neural networks (ANNs) to recognize, classify and predict patterns of different fracture sets in the top 450 m in crystalline rocks at the . A Asp . o o Hard Rock Laboratory (HRL), Southeastern Sweden. ANNs are computer systems composed of a number