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本算法在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更稳定。(the algorithm steps in training, training time and error accuracy is superior to the conventional fuzzy neural network, learning fast convergence, the error curve is more stable.)

在LEACH算法的基础上对簇头选择从节点剩余能量与节点分布位置进行了加权处理，仿真结果显示，较LEACH协议延长了网络生存时间，降低了网络总体能耗。(On the basis of the LEACH algorithm for cluster heads selection on the basis of the node residual energy and the node distribution location weighted processing, simulation results show that, the LEACH protocol extended the network survival time, reduce the network energy consumption as a whole. )

实现了统一潮流控制器的建模与设计，可以稳定运行(Modeling and design of unified power flow controller)

基于二叉树的多类分类器识别，是模式识别中的基础，对二叉树进行了描述。(Binary tree-based multi-classifier recognition, pattern recognition is based on the binary tree is described.)

this program is used to calculate difference between to vectors

将改进的粒子群算法和GA与SVM相结合，通过参数寻优构建新模型完成对空气质量指数的预测(The improved particle swarm optimization and genetic algorithm are combined with SVM. The prediction of air quality index (AQI) is completed by constructing a new model by parameter optimization.)

说明：  Matlab 神经网络离散PID控制实例，在Simulink环境中搭载仿真模块即可实现，结果图效果不错(Matlab neural network PID control of discrete examples, in the Simulink environment with simulation module can be realized, the results of Fig good results)

这是EMD的程序，结合希尔伯特黄变换来分析的程序(This is the hilbert programme ,coorperated with hilbert transform)

多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好(Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good)

数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留(Morphology of the signal de-noising effect is good, the signal disturbance characteristics are well retained)