classification_matlab_toolbox分类方法工具箱，有界面很直观。

用于神经网络分析与设计-for Neural Network Analysis and Design

汉字识别的一个小例子 识别率不是那么高，但还是可以借鉴的-one small example of the recognition rate is not so high, but still useful

来自于www2.cs.uregina.ca的c4.5源码-from the Bank www2.cs.uregina.ca FOSS

用C++实现了期望最大化算法，为了简化，矩阵使用对角矩阵-C achieve expectations maximize algorithm, in order to simplify the use of matrix diagonal matrix

人工智能与模糊控制_电力系统-artificial intelligence and fuzzy control _ Power System

小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value

自主式决策树学习的程序源码，对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

这是关于人工神经网络的c算法实现，对于算法研究比较有用！-C++ implementation of class network By Luca Cinti and Lorenzo Masetti, based on lightweight neural net library written in C by Peter van Rossum.

用Prolog求解传教士和野人问题 复习经典谓词演算中的归结原理，掌握人工智能程序设计语言Prolog，理解通过搜索求解问题实现人工智能的思想。-Using Prolog to solve the issue of missionaries and Savage Classical Predicate Calculus review summarized in principle, grasp the artificial intelligence programming language Prolog, to understand to solve problems by searching for the realization of the idea of artificial intelligence.