| 人工神经网络的容量、学习与计算复杂性 |
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| 引用本文： | 阎平凡.人工神经网络的容量、学习与计算复杂性[J].电子学报,1995,23(5):3-67. |
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| 作者姓名： | 阎平凡 |
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| 作者单位： | 清华大学自动化系 |
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| 基金项目： | 国家攀登计划,认知科学（神经网络）重大关键项目 |
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| 摘 要： | 本文讨论了人工神经网络（ＡＮＮ）解决问题的能力，从广泛的角度讨论了容量问题，推广与学习问题，深入研究了ＡＮＮ通过学习解决问题的计算复杂性，以及解决实际问题时困难所在。
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| 关 键 词： | 神经网络，计算复杂性，学习 |
Capacity,Learning and Computational Complexity of Artificial Neural Networks |
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| Yan Pingfan.Capacity,Learning and Computational Complexity of Artificial Neural Networks[J].Acta Electronica Sinica,1995,23(5):3-67. |
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| Authors: | Yan Pingfan |
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| Abstract: | The problem solving ability of ANN is discussed in this paper, problem of capacity,generalization and learning is studied from wide view of point. the computational complexity of ANN learning is discussed in deep. Difficulties in solving practical problems by ANN is also pointed out. |
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| Keywords: | Neural network Computational complexity Learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
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