A PROPOSAL FOR FUZZY NEURAL NETWORK IN GENERALIZED FUZZY NUMBERS FRAMEWORK USING FUNCTION PRINCIPLE

被引：0

作者：

Arotaritei, Dragos ^{[1
]}

Rotariu, Mariana ^{[1
]}

Ilea, Mihai ^{[1
]}

Turnea, Marius ^{[1
]}

机构：

[1] Gr T Popa Univ Med & Pharm, Dept Med Biosci, Iasi 700115, Romania

来源：

JOURNAL OF SCIENCE AND ARTS | 2019年 / 03期

关键词：

Fuzzy neural networks; Multilayer perceptron; Function principle; Triangular fuzzy Numbers; Fuzzy neuron;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Fuzzification of multilayer perceptron is proposed using generalized fuzzy numbers and an extension for the activation function of fuzzy neurons. All the operations take place in the generalized fuzzy numbers framework using the function principle. A new learning based on gradient methods is proposed and experimental results are also presented

引用

页码：765 / 774

页数：10

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