模式识别中的ISODATA算法演示

国外的一个A*算法演示，带源代码。作为算法参考非常好-abroad an A* algorithm demonstration, with the source code. As a very good reference algorithm

关于模糊模式识别的最新研究，很有用的资料。-fuzzy pattern recognition on the latest research and useful information.

斯坦福大学人工智能课程讲义（cs121）stanford university artificial intelligence course lecture notes-stanford university artificial intelligence course lecture notes

径向基网络对Polynomial函数的逼近和拟合-Radial basis function networks Polynomial Approximation and fitting

he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

BP神经网络的C语言实现-Neural Network C Language

对股票走势的仿真，基于agent的设计思路-The trend of the stock simulation, agent-based design ideas

神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value.

一个非常好的，用于训练样本图像的代码。 一定可以运行。-A very good image for the training sample code. Will be able to run.

基于股票的程序-Stock-based procedures