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This toolbox was written for my own education and to give me a chance to explore the models a bit. It is NOT intended for any serious applications and it does not NOT do many of things you would want a mature implementation to do, like leaf pruning. If you wish to use a strong implementation I recommend Scikit Learn / Python. For Matlab I do not really have a recommendation.

runga kutta numerical integration method

BP神经网络和遗传算法优化的BP神经网络(BP neural network and genetic algorithm to optimize BP neural network)

maximal ratio combining 下的bpsk 误码率及性能分析(bpsk BER performance analysis under the maximal ratio combining(mrc))

利用matlab编程实现TE TM波的推导以及包括最佳匹配层的设计还有全矢量半矢量的推导(TE TM PML)

说明：  本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM，GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM, GMM FJ algorithm is used, the effect is very good )

基于camshift的人脸跟踪程序，matlab(Face tracking based on Camshift，matlab)

数学建模：下料问题数学建模：下料问题数学建模：下料问题数学建模：下料问题数学建模：下料问题(Mathematical modeling: automatic lathes)

Log4Net Demo示例 环境Vs2010 Window Form中封装Log4Net组件。(Log4Net Demo Example)

Conceptually, a merge sort works as follows Divide the unsorted list into n sublists, each containing 1 element (a list of 1 element is considered sorted). Repeatedly merge sublists to produce new sorted sublists until there is only 1 sublist remaining. This will be the sorted list.