This paper describes a method of extracting diagnostic rules from trained diagnostic feedforward neural nets that are constructed to recognise di!erent mechanical faults using automated weight and structure learning algorithms. The rule extracting method is based on an interpretation that considers
โฆ LIBER โฆ
Extracting decision trees from trained neural networks
โ Scribed by R. Krishnan; G. Sivakumar; P. Bhattacharya
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 276 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
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