| 基于仿生模式识别的构造型神经网络分类方法* |
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| 引用本文： | 陈启买,周海晴.基于仿生模式识别的构造型神经网络分类方法*[J].计算机应用研究,2009,26(9):3314-3317. |
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| 作者姓名： | 陈启买 周海晴 |
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| 作者单位： | 华南师范大学,计算机学院,广州,510631 |
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| 基金项目： | 广东省科技计划资助项目（2009B010800036） |
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| 摘 要： | 从BP神经元模型和RBF神经元模型几何意义出发，将仿生模式识别理论引入到神经网络分类中，提出了一种基于仿生模式识别的构造型神经网络分类方法，通过构造不同结构神经元结合的神经网络，实现了对不同类样本在高维空间中形成的不同形状几何体的覆盖。实验证明该算法是非常有效的。
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| 关 键 词： | 仿生模式识别 神经元 构造型神经网络 高维空间 分类 |
Constructive neuron networks classification algorithm based on bionic pattern recognition |
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| CHEN Qi-mai,ZHOU Hai-qing.Constructive neuron networks classification algorithm based on bionic pattern recognition[J].Application Research of Computers,2009,26(9):3314-3317. |
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| Authors: | CHEN Qi-mai ZHOU Hai-qing |
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| Affiliation: | (College of Computer Science, South China Normal University, Guangzhou 510631, China) |
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| Abstract: | This paper introduced the theory of bionic pattern recognition into neural networks classification,Firstly from geometric significance of the BP neuron model and the RBF neuron model,proposed a new constructive neuron networks classification algorithm based on bionic pattern recognition.Then covered high dimensional geometrical distribution of the sample set in the feature space by constructing a new type of ANN.Finally,the test proves that the algorithm is very effective. |
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| Keywords: | bionic pattern recognition neuron constructive neural networks high dimensional classification |
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