Design of Hard Partition-based Non-Fuzzy Neural Networks
نویسندگان
چکیده
منابع مشابه
Design of Hard Partition-based Non-Fuzzy Neural Networks
This paper propose a new design of fuzzy neural networks based on hard partition to generate the rules of the networks. For this we use hard c-means (HCM) clustering algorithm. The premise part of the rules of the proposed networks is realized with the aid of the hard partition of input space generated by HCM clustering algorithm. The consequence part of the rule is represented by polynomial fu...
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A new design of non-fuzzy-networks based on hard c-means (HCM) are introduced in this paper. To generate the ruels and design the networks, we use HCM clustering algorithm. The premise part of the rules of the proposed networks is expressed by the hard partition of input space generated by HCM clustering algorithm. The partitioned local spaces indicate the rules of the proposed networks. The co...
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ژورنال
عنوان ژورنال: International journal of advanced smart convergence
سال: 2012
ISSN: 2288-2847
DOI: 10.7236/jasc2012.1.2.6