人工智能编程示例

Wavelets, Approximation and Statistical Applications-Wavelets. Approximation and Statistical Applications

这是表达支持向量机一个demo，可以帮助更好的理解svm-This is an expression of support vector machine demo, can help a better understanding of svm

fp_growth，apriori算法的升级版，减少了扫描数据库的次数-fp_growth, apriori algorithm upgrades, reducing the number of scanning the database

可以自动生成qbf问题实例,但需要给定一些参数.-can produce QBF instance

classification_matlab_toolbox分类方法工具箱，有界面很直观。-classification_matlab_toolbox classification toolbox, a very intuitive interface.

遗传算法的原代码，用于最优化计算，只需解压便可使用。-Genetic algorithm source code for the optimization calculation, just unzip to use.

BP网络神经元控制器BPNNC-BPNNC of the BPnetwork neuron controller

模拟退火模型算法，使用C语言实现的，简单有效-Simulated annealing algorithm, the use of C language to achieve, simple and effective

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

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.