演化程序――遗传算法和数据编码的结合 具体介绍了遗传算法的应用...

朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J

用粒子群优化算法计算给定图像的平滑度。

实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm

c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm

米凯利维奇遗传算法-Mikerevic Genetic Algorithm

BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping

遗传算法软件包，其中有例子配合理解，十分不错-GA package, which is an example with understanding, very good

遗传算法的源程序例子，对于初学者有很大帮助，建议多-Genetic algorithm source code examples are very helpful for beginners, the proposed multi-

CMAC小脑模型神经网络的具体实现算法。-CMAC cerebellar model of neural network algorithm for concrete realization.

经典的BPN人工神经网络例子源码,可用于函数逼近，预测等方面-classic example of artificial neural network source, function approximation can be used to forecast etc.