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Title |
Learning Recurrent ANFIS Using Stochastic Pattern Search Method |
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Author |
Hang Yu, Zheng Tang |
| Citation |
Vol. 10 No. 6 pp. 277-283 |
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Abstract |
Pattern search learning is known for simplicity and faster convergence. However, one of the downfalls of this learning is the premature convergence problem. In this paper, we show how we can avoid the possibility of being trapped in a local pit by the introduction of stochastic value. This improved pattern search is then applied on a recurrent type neuro-fuzzy network (ANFIS) to solve time series prediction. Comparison with other method shows the effectiveness of the proposed method for this problem. |
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Keywords |
stochastic pattern search method, ANFIS, time series prediction |
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