However , some of face recognition problems still require further development , this is the case for problems of recognition face images conveying changes in illumination , facial expression and changes due to the time delay between the acquistion of the reference and tested face images . our main work is to analysis methods of extraction face features and contraction of classifier . the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images , then combine those features as a new combined feature set , in order to reduce redundancy data , we apply clone algorithms to reduce data through rotation in input space 我们改进了一种基于矩理论的识别方法，给出了计算公式和证明过程，可用于解决小规模人脸识别问题；我们将智能方法应用到人脸识别中，分别利用自组织特征映射和次分量方法抽取人脸的整体特征和局部特征，依据特征融合理论，重新组合为新的复合特征，为压缩特征数据，我们首次引入克隆选择算法自动进行特征优化选择，最后，利用支持矢量机构造多分类器进行分类识别，在不同规模人脸识别库上仿真结果表明，该系统自适应能力强，分类识别精度高，适用于大规模复杂人脸识别问题。
In this paper , we discussed an approach using csa to designing fuzzy logic controller and artificial neural networks . simulation was conducted . results showed : by this approach we could effectively realize extraction and optimization of fuzzy rules and its parameters , as well as designing and optimization structure and parameters of artificial neural network 本文探讨了利用克隆选择算法，对模糊控制器和人工神经网络进行优化设计的一种方法和途径，并进行了仿真研究，实现了模糊控制器控制规则的自动抽取和参数优化，以及人工神经网络的结构和参数的优化设计，获得了较好的设计效果。
Because of the strong adaptability of csa , in this paper , based on csa , building blocks models constructing approach , mechanism of antibody ' s recognizing ball and fuzzy neural networks , a model identification approach for complex systems with uncertainty was presented . simulations are conducted 本文采用克隆选择算法，结合抗体的模块化构成方式、抗体识别球原理，以及模糊神经网络，针对具有不确定性的复杂系统，提出了一种基于模糊神经网络的免疫在线模型辨识方法，并进行了仿真验证。
