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统计一段文字中单词的数目，程序可运行，效果正确(The number of words in a text statistics, the program can be run, the effect is correct)

Simulated annealing using the Metropolis criterion for TSP

基于遗传算法的小波神经网络预测模型，在神经网络基础上做的改进(Wavelet neural network forecasting model based on genetic algorithms, neural network based on the improvements made)

说明：  利用matlab中随机森林工具包数据进行预测(RF toolkit data in matlab was used for prediction)

The purpose of the present work is to investigate inference and statistical prediction when the data and (or) the unknown parameter have large or infinite dimension.

这是一个Matlab实现的图像Multiwavelet程序，用于计算图像的Framelet系数。(This is a Matlab implementation of image Multiwavelet procedures used to calculate the image Framelet factor.)

说明：  matlab haar-like,包含积分图计算(matlab haar-like sum and compute)

这个程序是对主动配电网的网损计算的，结果精确，程序简单(This program is a proactive network distribution network loss calculation, the results are accurate, simple procedures)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

说明：  OFDM的SLM算法的实现和不同通道数下的比较(The SLM OFDM algorithm implementation and the comparison under different number of channels)