| 多层前向神经网络及其研究 |
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| 引用本文： | 吴建生,虞继敏.多层前向神经网络及其研究[J].柳州师专学报,2006,21(3):88-95. |
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| 作者姓名： | 吴建生 虞继敏 |
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| 作者单位： | 柳州师范高等专科学校,数学与计算机科学系,广西,柳州,545004 |
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| 基金项目： | 广西教育厅资助项目(200508234) |
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| 摘 要： | 神经网络是人工智能应用的重要研究领域,因其出色的高度非线性映射能力、自组织和适应能力、记忆联想能力。已经成为机器学习研究的热点,本文详细讨论了多层神经网络的理论依据,泛化能力问题,总结神经网络结构优化与泛化能力的研究现状,最后提出了神经网络的未来发展。
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| 关 键 词： | 多层前向神经网络 泛化能力 结构优化 |
| 文章编号： | 1003-7020(2006)03-0088-08 |
| 收稿时间： | 2006-03-16 |
| 修稿时间： | 2006年3月16日 |
A Study of Multilayer Feed-Forward Neural Networks and Its Research |
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| WU Jian-sheng,YU Ji-min.A Study of Multilayer Feed-Forward Neural Networks and Its Research[J].Journal of Liuzhou Teachers College,2006,21(3):88-95. |
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| Authors: | WU Jian-sheng YU Ji-min |
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| Institution: | Department of Mathematics and Computer Science, Liuzhou Teachers College, Liuzhou, Guangxi 545004, China |
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| Abstract: | The neural network is an applied important research in Artificial Intelligence,because of its outstanding nonlinear mapping,self-organized,paralleled,adaptation,and so on.This makes it an important research in machine learning.The paper has discussed the development of multilayer feed-forward neural networks,the theory foundation,the generalization ability,and surveyed the latest research on the generalization ability and structural optimization of Neural Networks.At last,it shows clearly the future and the development of the Neural Network. |
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| Keywords: | multilayer feed-forward neural networks generalization ability structural optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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