隐马尔科夫模型工具箱最新版本，可以广泛应用于识别等领域...

一个改进的聚类算法FCMA,可以实现数据的自适应有效聚类,对2维数据测试效果较好- An improvement gathers kind of algorithm FCMA, may auto-adapted realize the data effectively to gather the kind, is better to 2 dimensions according to the test effect

用RBF实现的目标图象识别程序,C实现,可以应用于DSP系统.-RBF realize the goal of using the image recognition program, C realize, can be used in DSP systems.

数据挖掘中频繁项集挖掘算法，改进了apriori算法，性能提高很多-Data Mining frequent itemsets mining algorithm, improved apriori algorithm, improve the performance of many

matlab的典型算法（包括神经网络、遗传算法、概率算法、模拟退火算法）-matlab typical algorithms (including neural networks, genetic algorithms, probabilistic algorithms, simulated annealing algorithm)

该源码用来实现基本粒子群的算法，值得参考-The source algorithm is used to achieve the elementary particle group, worth considering

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

专家系统－神经网络代码-expert system-neural network code

自适应共振神经网络可以实现自动学习与分类具有自适应的功能-adaptive resonance neural network can automatically learning and classification of adaptive function

粒子群算法程序集,应用于粒子优化处理!最新的算法.-PSO algorithm set, optimized for particle! The latest algorithm.

可视化的手写（鼠标）字母数字神经网络训练程序。-visulized neural network trainning programme。