人工智能方面一个专家系统的简单例子

模式识别与人工智能，圆检测HOUGH变换的改进算法-Pattern Recognition and Artificial Intelligence, HOUGH transform circle detection algorithm to improve

An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (US$28 / £ 19.04) 书中的算法源程序-An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (U.S. $ 28 /

基于小波和神经网络的论文，来自期刊网-wavelet-based and neural network papers from the Journal Network! !

OPENCV系列的，TOOLBOX工具，应该挺有用的，大家自己看看吧！-OPENCV series, TOOLBOX tool, it should be quite useless, we all see!

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

模式识别中关于C均值的聚类算法的程序,输入点进行聚类.-pattern recognition on the C-means clustering algorithm procedures input cluster.

bp神经网络 c语言程序-bp neural network c Language Program

微分进化算法DE（Differential Evolution）由Storn和Price等学者于1995年首先提出。它是一种基于种群优化的新智能优化方法，它已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点-Differential evolution algorithm DE (Differential Evolution) by Storn and Price and other scholars in 1995, the first place. It is a species based on the optimization of the new intelligent optimization method, which has been proved in the solving process with high efficiency, convergence, robustness, etc.

炉温模糊控制的一般性程序，可以修改各参数从而更改模糊控制表-Temperature control of the general procedures can be amended so as to change the parameters of fuzzy control Table

背包问题算法解决-Knapsack Problem Solving