| 基于负相关神经网络集成算法及其应用的研究 |
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| 引用本文： | 谢铮桂,韦玉科,钟少丹.基于负相关神经网络集成算法及其应用的研究[J].计算机应用与软件,2009,26(10):27-29. |
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| 作者姓名： | 谢铮桂 韦玉科 钟少丹 |
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| 作者单位： | 1. 韩山师范学院数学与信息技术系,广东,潮州,521041;广东工业大学计算机学院,广东,广州,510090
2. 广东工业大学计算机学院,广东,广州,510090 |
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| 基金项目： | 国家自然科学基金项目 |
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| 摘 要： | 传统的神经网络集成中各子网络之间的相关性较大,从而影响集成的泛化能力.为此,提出用负相关学习算法来训练神经网络集成,以增加子网络间的差异度,从而提高集成的泛化能力.并将基于负相关学习法的神经网络集成应用于中医舌诊诊断,以肝病病证诊断进行仿真.实验结果表明:基于负相关学习法的神经网络集成比单个子网和传统神经网络集成更能有效地提高其泛化能力.因此,基于负相关神经网络集成算法的研究是可行的、有效的.
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| 关 键 词： | 神经网络集成 负相关学习 分类 中医诊断 |
ON NEURAL NETWORKS ENSEMBLES ALGORITHM BASED ON NEGATIVE CORRELATION AND ITS APPLICATION |
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| Xie Zhenggui , Wei Yuke Zhong Shaodan.ON NEURAL NETWORKS ENSEMBLES ALGORITHM BASED ON NEGATIVE CORRELATION AND ITS APPLICATION[J].Computer Applications and Software,2009,26(10):27-29. |
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| Authors: | Xie Zhenggui Wei Yuke Zhong Shaodan |
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| Affiliation: | Department of Math and Information Technology;Hanshan Normal University;Chaozhou 521041;Guangdong;China;Faculty of Computer;Guangdong University of Technology;Guangzhou 510090;China |
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| Abstract: | The pertinence between individual subnetworks is large in traditional neural network ensembles,this affects the generalization ability of the ensembles.In the paper it presents to train the neural network ensembles with negative correlation learning algorithm for increasing the difference between the individual subnetworks so as to improve the generalization ability of the network ensembles.The neural networks ensemble based on negative correlation learning algorithm is applied to tongue inspection diagnosi... |
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| Keywords: | Neural network ensembles Negative correlation learning Classification TCM diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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