Geodesic
Fusion Technology of Neural Networks and Fuzzy Systems: a Chronicled Progression from the Laboratory to Our Daily Lives
International Journal of Applied Mathematics and Computer Science, Tome 10 (2000) no. 4, pp. 647-673.

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We chronicle the research on the fusion technology of neural networks and fuzzy systems (NN+FS), the models that have been proposed from this research, and the commercial products and industrial systems that have adopted these models. First, we review the NN+FS research activity during the early stages of their development in Japan, the US, and Europe. Next, following the classifi- cation of NN+FS models, we show the ease of fusing these technologies based on the similarities of the data flow network structures and the non-linearity realization strategies of NNs and FSs. Then, we describe several models and applications of NN+FS. Finally, we introduce some important and recently developed NN+FS patents.
Keywords: cooperative models, neural networks, fuzzy systems, genetic algorithms, real world applications, overview
Mots-clés : sieć neuronowa, system rozmyty, algorytmy 
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     author = {Takagi, H.},
     title = {Fusion {Technology} of {Neural} {Networks} and {Fuzzy} {Systems:} a {Chronicled} {Progression} from the {Laboratory} to {Our} {Daily} {Lives}},
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Takagi, H. Fusion Technology of Neural Networks and Fuzzy Systems: a Chronicled Progression from the Laboratory to Our Daily Lives. International Journal of Applied Mathematics and Computer Science, Tome 10 (2000) no. 4, pp. 647-673. http://geodesic.mathdoc.fr/item/IJAMCS_2000_10_4_a0/