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SM ISO690:2012 HUQ, Mahmudul. Hybrid artificial neural network: combining arti_cial intelligence and fuzzy logic. In: Conference on Applied and Industrial Mathematics: CAIM 2021, 17-18 septembrie 2021, Iași, România. Chișinău, Republica Moldova: Casa Editorial-Poligrafică „Bons Offices”, 2021, Ediţia a 28-a, p. 58. |
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Conference on Applied and Industrial Mathematics Ediţia a 28-a, 2021 |
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Conferința "Conference on Applied and Industrial Mathematics" Iași, România, Romania, 17-18 septembrie 2021 | ||||||
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Pag. 58-58 | ||||||
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Arti cial Neural Networks (ANNs) are used for solving the problems that have large number of observed cases. Instead of acquiring instances as prior information, fuzzy systems demand language rules. In addition, language descriptions of the input and output variables are required. There are several similarities between arti cial neural network and fuzzy systems. They can be utilized to solve an issue if there is no mathematical model for the problem at hand. They have some drawbacks, which are virtually eliminated when both concepts are combined. In this research paper we will be discussing on the proposal of creating Hybrid Arti cial Neural Network (HANN) by combining ANN and Fuzzy Logic (FL). In this research paper we will discuss on the problem that we are going to handle and on the solution that we are going to propose to handle the problem. |
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