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FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling

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1 Author(s)
M. Russo ; Inst. of Comput. Sci. & Telecommun., Catania Univ., Italy

The author has developed a novel approach to fuzzy modeling from input-output data. Using the basic techniques of soft computing, the method allows supervised approximation of multi-input multi-output (MIMO) systems. Typically, a small number of rules are produced. The learning capacity of FuGeNeSys is considerable, as is shown by the numerous applications developed. The paper gives a significant example of how the fuzzy models developed are generally better than those to be found in literature as concerns simplicity and both approximation and classification capabilities

Published in:

IEEE Transactions on Fuzzy Systems  (Volume:6 ,  Issue: 3 )