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这个是脉冲耦合神经网络在边缘检测中的应用，脉冲耦合神经网络是第三代神经网络，天生就具有图像处理的优势。-This is a Pulse-Coupled Neural Networks in Edge Detection, pulse coupled neural network is the third generation of neural networks, image processing inherently advantage.

svm工具箱的使用范例,很详细的范例，希望对大家有用-recognition use vsm toolbox

ICA经典文章,入门必看。受益，高阶矩统计牲在信号处理中的应用，详细介绍许多重要概念。-ICA classic article, the entry Watchable. Benefit Higher Moments statistical offerings in signal processing applications, detailed many important concepts.

三维人脸动画的合成：利用数据挖掘和语音驱动（解决了语音和动画的同步）-3D Facial Animation Synthesis : Using Data Mining and voice-driven (to solve the voice and animation simultaneously)

基于遗传算法的多移动机器人协调路径规划，这是国内的专家篆写的文章。我觉得写得不错，推荐给大家看看。-based on genetic algorithms more mobile robot path planning coordination, which is the domestic experts Fragrance write articles. I think well-written and recommend it to see.

遗传算法的文章- Heredity algorithm article

C++ 基于神经网络 法的数字 识别代码-C++ Based on neural network digital identification code

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

用元胞自动机实现单色10000个空间位置的细菌分裂试验的算法C语言代码-Using Cellular Automata 10,000 monochrome realize spatial location of bacteria to split the test algorithm C language code

模式识别的中科院的课件，对学习或考试都很有帮助-Pattern Recognition, Chinese Academy of Sciences of the courseware, learning or examination are helpful