| 基于多ANN的复杂函数学习策略 |
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| 引用本文： | 高峰 李人厚. 基于多ANN的复杂函数学习策略[J]. 西安交通大学学报, 1996, 30(10): 16-21,36 |
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| 作者姓名： | 高峰 李人厚 |
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| 作者单位： | 西安交通大学 |
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| 摘 要： | 针对多层前馈人工神经元网络，提出了一种多ＡＮＮ逼近策略，与单ＡＮＮ方法相比较，逼近能力，适应能力，泛化能力等都有了很大的提高，它可应用于复杂系统的建模和辨识。
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| 关 键 词： | 多ANN模型 逼近 神经网络 复杂函数 |
COMPLEX MAPPING APPROXIMATION BASED ON MULTI ANN APPROACH |
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| Gao Feng Li Renhou. COMPLEX MAPPING APPROXIMATION BASED ON MULTI ANN APPROACH[J]. Journal of Xi'an Jiaotong University, 1996, 30(10): 16-21,36 |
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| Authors: | Gao Feng Li Renhou |
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| Abstract: | This paper presents a multi ANN approximation approach to approximate complex non linear function. Compared with single ANN methods the proposed approach improves and increases the approximation and generalization ability, and adaptability greatly in learning processes of networks. The simulation results have shown that the method can be applied to the modeling and identification of complex dynamic control systems. |
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| Keywords: | artificial neural networks multiple ANN models function approximation |
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