人工神经网络

基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural network is developed on the basis of a new non-supervised clustering method, analysis based on self-organizing feature map network clustering of the learning process, analyzed the weights of self-organization the process of neighborhood function and learning step-size problem of the general values are given based on the self-organizing feature map network clustering algorithm to achieve concrete and practical examples of tests, confirmed the correctness of the algorithm.

Eigenface and Fisherface Performance Across Pose

SOBI算法，采用二阶统计量进行盲分离。-SOBI algorithm, using second-order statistic for blind separation.

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

面试老鼠和猫连动问题的集中解决方案 可以建议应付面试问题-interview rats and cats even move the concentrated solution can meet the proposed interview questions

完成基于遗传算法的图像模式识别功能流程描述-To complete the image based on genetic algorithms pattern recognition function of the process described

遗传算法-Genetic algorithms

自己编写的人工智能小模型，可实现逻辑推理功能

RBFNN一步预测混沌序列性能程序,可以直接运行,效果不错!-RBFNN step chaotic sequence performance prediction procedures, can be directly run, good results!

遗传算法和神经网络的结合应用，通过Visual C++环境来实现该功能，使计算能力更强-Genetic algorithms and neural networks combination of applications, through the Visual C++ environment to achieve this feature, so that more computing power