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一种新型RBF网络序贯学习算法 被引量:13

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摘要 静态神经网络由于自身的局限性难于对非线性时变过程进行建模和预测, 而最小资源分配网络(M-RAN)又因调节参数过多难于实现. 提出了一种新型的基于局部投影概念的RBF网络序贯学习算法: 局部投影网络LPN, 进而对算法进行了最小化改进. 在此基础上进行了详细的算例验证.
出处 《中国科学(E辑)》 CSCD 北大核心 2004年第7期763-775,共13页 Science in China(Series E)
基金 国家自然科学基金资助项目(批准号: 50076008)
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参考文献9

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