## Abstract This paper presents a neuroβfuzzy network (NFN) where all its parameters can be tuned simultaneously using genetic algorithms (GAs). The approach combines the merits of fuzzy logic theory, neural networks and GAs. The proposed NFN does not require __a priori__ knowledge about the system
β¦ LIBER β¦
Tracking ability of decision feedback equalizer for time-varying channel characteristics
β Scribed by Mutsumu Serizawa; Minoru Namekata; Junzo Murakami
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 917 KB
- Volume
- 78
- Category
- Article
- ISSN
- 8756-6621
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