Ito demand function optimization algorithm source code download can be used dire...

自已写的Adaboost使用Haalike feature，去Detection-Adaboost use their own written Haalike feature, to Detection

贝叶斯优化算法是一种新的演化算法，通过贝叶斯概率统计的知识来学习后代，可是使演化朝有利的方向前进，程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution towards a favorable direction, procedures C achieved a Bayesian Optimization Algorithm.

Apriori算法的JAVA实现A priori算法的JAVA实现-Apriori algorithm JAVA realize A priori algorithm realize JAVA

java extreme programming cookbook

通过遗传算法对高校排课问题的解决，在高校的十佳环境中运行效果良好-Through the College Course Scheduling of genetic algorithms to solve the problem, in the top ten colleges and universities run the effect of environmental good

netlogo实现的二元货物的模拟仿真模型-netlogo to achieve the dual cargo simulation model

非线性程序之模式识别与控制系统设计.-nonlinear pattern recognition procedures and control system design.

在matlab6.5下实现的 -achieved in the matlab6.5

遗传算法在ＭＡＴＬＡＢ环境中的实现.rar-genetic algorithm in MATLAB environment is achieved. Rar

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.