neural network algorithm original program content in more detail. We hope to dis...

这个程序是A*算法的简单实现，来解决八数码问题-It just simply applys the A* algorithm to solve the Eghit-puzzle problem

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.

bell 实验室周期性关联规则挖掘算法。-Cycle Association

matlab神经网络应用设计，里面随有详细代码-Matlab neural network application design, which with a detailed code

greedy em 混和模型训练算法-greedy em hybrid model training algorithm

一种运用蚂蚁算法和遗传算法解决旅行商问题的混合优化程序-an ant algorithm and the use of genetic algorithms to solve the traveling salesman problem hybrid optimization procedures

神经网络的遗传算法的集合-the set of neural network Genetic Algorithm

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.

java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters)

use genetic ant algorithm to slove TSP problem-use genetic algorithm to slove ant TSP ty B"Tselem,