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NEURO FUZZY AND SOFT COMPUTING
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1.Neuro-Fuzzy and Soft Computing chapter 1 J.-S.R. Jang Neuro ...

1. Page 1. Soft Computing. 1. Neuro-Fuzzy and Soft Computing chapter 1. J.-S.R. Jang. Neuro-Fuzzy and Soft Computing chapter 1. J.-S.R. Jang. Bill Cheetham ...

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2.Neuro-fuzzy rule generation: survey in soft computing framework ...

ious neurofuzzy models used for rule generation. We propose to bring these together under a unified soft computing framework. Moreover, we include both rule ...

PDF Book Title: 00846746 | Link to file: ieeexplore.ieee.org Facebook LIKES: 47




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3.Neuro-Fuzzy and Soft Computing-A Computational Approach to ...

Neuro-Fuzzy and Soft Computing—A Computational Ap- proach to Learning and Machine Intelligence—J. S. R. Jang,. C. T. Sun, and E. Mizutani (Englewood ...

PDF Book Title: 00633847 | Link to file: ieeexplore.ieee.org Facebook LIKES: 47




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4.Neuro-fuzzy And Soft Computing-a Computational Ap-proach To ...

MAGAZINE, vol. 16, p. 97, May/June 1997. Neuro-Fuzzy and Soft Computing—A Computational Ap- proach to Learning and Machine Intelligence—J. S. R. Jang, ...

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5.Application of Neuro-Fuzzy Systems to Behavioral Representation in ...

Neuro-fuzzy systems, soft computing, fuzzy sets, neural nets, computer generated forces, human modeling, manual tracking. Abstract. A new mathematical ...

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6.Applied Soft Computing A type-2 neuro-fuzzy system based on ...

Applied Soft Computing journal homepage: www.elsevier.com/locate/asoc. A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to ...

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7.A Soft Computing Approach For Epidemiological Studies of Coffee ...

and neuro-fuzzy systems (NFS). Comparing ... soft computing techniques to describe the effects of ..... neuro-fuzzy and soft computing techniques in plant ...

PDF Book Title: jdcta4-1_revised2_paper15 | Link to file: www.aicit.org Facebook LIKES: 0




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8.3 Adaptation of Fuzzy Inference System Using Neural Learning

ajith.abraham@ieee.org, http://ajith.softcomputing.net. The integration ... vantages of the different types of integrated neuro-fuzzy models that have been evolved ...

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