Sea Waves Prediction Usin Fuzzy i Neural Network
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_012
تاریخ نمایه سازی: 22 مرداد 1385
Abstract:
Combination of neural networks and fhzzy systems yields intelligent Fuzzy-Neural system used to solve problems such as modeling, prediction, etc. In this paper, Fuzzy- Neural Network (FNN) has been designed to predict sea waves that are non-linear phenomena. The system trains parameters in three phases: first, system trains conclusion parameters (center of output membership fi~nction);t hen, the system trains antecedent parameters (center of input membership function) with conclusion parameters and; finally, the system trains variance of membership function with other parameters. Result of each phase was compared with each other. Result of third phase is better than other phases. The performance of this phase is slower than other phases because it has higher degrees of freedom. Next stage, three previous phases would be used recurrent Fuzzy- Neural Network to train the parameters. Training conclusion parameters, antecedent parameters and variance parameters together has the best result. In this paper, Error Back Propagation Algorithm was used for learning mechanism, and Fuzzy-Neural Networks were evaluated by Mean Square of Error (MSE).
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Authors
Bahareh Arefmanesh
Islamic Azad University- Science and Research Unit
Teshnehlab
Departemant of Electric Engineering, Khajeh Nasir Toosi of Technology Tehran, Iran
Shenasa
Departemant of Electric Engineering, Khajeh Nasir Toosi of Technology Tehran, Iran
Kamali
Iran Meteorology Organization
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