用c语言实现的bp神经网络实现异或功能，比较好用

一个非常不错的BP算法程序，这是一个名为bp.m的文件，对于理解BP算法会很有帮助。-The BP algorithm is a very good program, it is a named bp.m file would be helpful for understanding the BP algorithm.

通过C4.5 的实现可以进行构建决策树 来进行有效的分类-Through the realization of C4.5 decision tree can be constructed to carry out an effective classification

一个用Java编写的分形程序。分形(Fractal)理论是Mandelbrot于20世纪70年代提出的一门非线性学科，用于描述自然界中的非平衡非线性复杂系统的有序状态。利用分形算法可以画出千奇百怪的图象。Mandelbrot集和Julia集是分形集合中最基本的两个集合-Using Java to prepare a fractal process. Fractal (Fractal) theory is the Mandelbrot in the 20th century, 70s raised a non-linear science, used to describe the nature of the non-equilibrium nonlinear complex systems in an orderly state. Using fractal algorithm can draw strange image. Mandelbrot set and Julia fractal sets is the most basic collection of two collections

混合生源 加工-Mixed biogenic processing

类AStarPathFinder实现方块状网格上的A*算法-Class AStarPathFinder realize massive grid square on the A* algorithm

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

八数码难题源代码-eight digital source code problems

Adaline Network Pattern Recognition 人工智能人工神经网络源码-Adaline Network Pattern Recognition of artificial neural network artificial intelligence source

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.

蚁群算法的演示程序，很形象的说明的蚁群群体合作的智能性，很好的诠释了蚁群算法的精髓-Ant colony algorithm demo program, it is the image of the ant colony that cooperation between the intelligence groups, very good interpretation of the essence of the ant colony algorithm