The package focuses on the genetic algorithm. In this paper, genetic algorithm i...

用遗传算法求解TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可。-Genetic Algorithm with TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter entry process.

麻省理工大学遗传算法 -Massachusetts Institute of Technology Massachusetts Institute of Technology genetic algorithm genetic algorithm

本程序实现的是关联规则挖掘领域中规则发现算法.-this program is the Mining Association Rules field rules algorithm.

用于求解TSP的蚁群算法，C 语言 已经运行过-Basic Ant Colony Algorithm for TSP

人体运动检测与运动跟踪的源代码，用到了最新的算法，对这方面研究的人员很有帮助-Human Motion Detection and Motion Tracking source code, use the latest algorithms, this study helpful staff

神经网络计算双色球程序，采用快速的神经网络函数来实现，准确度高-Loans neural network computing procedures, the use of a fast neural network function to realize high accuracy

人工智能神经网络算法的实现。注意可能由于实现方式不同而导致结果有点不一样，这是允许的。-Artificial neural network algorithm.

GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下，随时间产生同目标函数同样的响应，即:可以把此网络制作为一个任意波形的信号发生器。 程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出（蓝色曲线）随着时间变化逐渐逼近目标函数（红色曲线）。此程序不仅可以学习遗传算法，也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights by the 16 neurons fully connected neural networks. Training purposes is to enable network inspired by certain assumptions, over time, produce the same response with the objective function, namely: the network can be produced as an arbitrary waveform signal generator. Procedure, three examples illustrate the evolution of genetic algorithms in the network output trends. We can see that the network output (blue curve) changes over time, gradually approaching the objective function (red curve). This program can not only learn from the genetic algorithm can also be used to study visual example of a fully connected network.

模式识别分类 内有聚类算法.分段线性算法-Categorization of pattern recongnization includes clustering algorithm and segmentation linear algorithm.

模式识别的源代码，针对大样本集中样本自动分类的程序，可以手动控制输入点！-pattern recognition source code, sample concentration on large samples of automatic classification procedure can be controlled manually input!