- 期刊
On the Nonlinear Fuzzy Equations System by Fuzzy Neural Networks Method
並列摘要
Neural networks have already been successfully applied to model the real world problems. The current research attempts to employ architecture of artificial neural networks for approximating solution of a system of fuzzy equations. For this aim, a multi-layer fuzzified feed-forward neural network (FFNN) on the real connection weights space is used. The proposed neural network architecture is able to approximate the unknowns by using a supervised learning algorithm which is based on the gradient descent method. The given approach has been illustrated by several examples with computer simulations.
被引用紀錄
潘瀅如（2013）。從臨床檢體檢測結核分枝桿菌群之分子鑑定方法的評估〔碩士論文，臺北醫學大學〕。華藝線上圖書館。https://doi.org/10.6831/TMU.2013.00102
延伸閱讀
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