Γn classical ''crisp'' neural networks the output cannot be estimated for arbitrary input data. This situation can be overcome if fuzzy neural nets are trained with fuzzy data. These ''continuous'' data often better describe certain situations. Because fuzzy neural networks map fuzzy numbers to fuzz
Computer match prediction for fluorescent dyes by neural networks
β Scribed by Clovis de M Bezerra; C J Hawkyard
- Book ID
- 111239925
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 130 KB
- Volume
- 116
- Category
- Article
- ISSN
- 0557-9325
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