Forecasting Daily Maximum Temperature Using New Neuro-Fuzzy Network With Variable Structure
Publish place: 1st Iran-Korea Joint Workshop on Climate Modeling
Publish Year: 1384
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IKWCM01_014
تاریخ نمایه سازی: 22 مرداد 1385
Abstract:
Nowadays, the usage of intelligent methods in predicting some quantities may be used as a powerful instrument for improvement of prediction models. In this paper, the objective has been the designing of a neuro-fuzzy network with a dynamic structure and effort has been made on .the basis of the number of input-output data pairs, to train the system via a rather improved method. In this direction, first at all, using the previously mentioned parameters, we define the fuzzy collection in such a manner to cover the input-output pairs. Then we setup the fuzzy regulations base and the fuzzy system and finally, through considering the threshold amount for the y in the conclusion section of the neuro-fuzzy network, we train the system.
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Authors
Saeid SOHEILY-KHAH
Dept. of Computer Engineering , Islamic Azad University
Mohammad Teshnehlab
Dept. of Electrical Enginnering, Khajeh Nasir Toosi University, Iran - Tehran