| #12309083 in Books | Springer | 2001-01-25 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 9.21 x.81 x6.14l,1.47 | File type: PDF | 327 pages | |
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
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