说明： Chaostic APSO，对加速粒子群优化的改进版本。相较于普通加速粒子群优化，该版本不仅收敛速度更快，而且加强了陷于局部最优的能力。(Chaostic APSO, an improved version of accelerated particle swarm optimization. Compared with conventional accelerated particle swarm optimization, this version not only converges faster, but also enhances the ability to trap in local optimum.)
我们使用布谷鸟智能算法优化SVM的参数（c,g）以此提高SVM的预测能力。(We use the cuckoo intelligent algorithm to optimize the parameters of the SVM (c, g) in order to improve the prediction ability of SVM. )
本代码为二进制多目标粒子群优化算法，标准测试函数下优化效果良好(This code is a binary multi-objective particle swarm optimization, optimization under standard test functions to good effect)
混沌系统分数阶分析，比整数阶分析更准确，非时滞分析，谁会时滞分数阶请联系我(fractional chaotic )
MATLAB生成的基本网络的复杂网络，相信对大家很有帮助(Complex network of MATLAB to generate basic network，I believe everyone very helpful)
该程序主要用于车型识别，利用两幅图像相减进行提取轮廓，然后再通过计算定长和车底的比进行判断车型。(The program mainly used for vehicle identification, the use of two images extracted contour subtraction, and then by calculating the fixed-length and vehicle models than the judge.)
一个bp神经网络，可以很好地实现故障的分类和识别，对于初学神经网络的学生可以下下来看看(A bp neural network, is a good way to realize the fault classification and identification, for beginner students can down under to see of the neural network )
说明： 多智能体集群算法，测试可以使用，需要具体修改(flocking algorithm for multi-agent systems)
说明： matlab神经网络精讲，编排顺序按照书本(Matlab neural network teaching, the arrangement order according to the book)
说明： 基于加权最小二乘算法和快速分解法的电力系统状态估计程序(Power system state estimation program based on weighted least square algorithm and fast decomposition method)
基于神经网络的文字识别系统, 基于神经网络的文字识别系统(based on neural network language identification system Neural Network Based Character Recognition System)
二进制万有引力搜索算法的源代码，希望对各位有帮助！(Binary gravitational search algorithm source code, I hope all of you help!)
基于人工鱼群算法编写电网规划程序，经验证可行(Writing grid planning process, based on artificial fish algorithm proven feasible)
说明： rnn、LSTM网络源代码。可供与初学者学习(RNN, LSTM network source code. For beginners to learn)
说明： 。采用了一种测试方法，当被识别的标签次数达到激活次数的阈值时，由人工神经网络分类器识别手势。在实验中，我们收集了12名受试者的真实表面肌电数据，并使用每名受试者的一组5个手势来评价我们的模型，平均识别率为98.7%，平均响应时间为227.76ms，仅为手势时间的三分之一。因此，模式识别系统可以在手势完成之前识别出手势(Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network)
二进制编码遗传算法解方程组,此程序是有MATLAB编写，采用二进制编码方式用遗传算法求解方程组。(This program can solve equtions,it is writen in matlab lauguage,and the code writen stly is bianay system, I hope this program can help some netfriend. )
说明： 深度神经网络做时间序列预测，包含实例，代码可运行(Lstm network for prediction including an sample example)
使用matlab对MAC协议的仿真源代码 MATLAB仿真csma/ca csma/cd，两个的(mac Matlab on the MAC protocol simulation source code matlab simulationcsma/ca and csma/cd)
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