说明： 对原始信号特征提取后输入人工智能网络进行训练，应用验证数据可得到输出，并进行最优估计(After the original signal features are extracted and input into the ARTIFICIAL intelligence network for training, the application of verification data can be output, and the optimal estimation)
说明： 锂离子电池储能的一阶响应仿真模型，能基本实现电池储能的充放电。(The first-order response simulation model of Li-ion battery energy storage can basically realize the charge and discharge of battery energy storage.)
用遗传算法进行无功优化，IEEE33节点实例(Reactive power optimization using genetic algorithm, the the IEEE33 nodes instance)
说明： 提供一个人工免疫算法源程序，其算法过程包括： 1.设置各参数 2.随机产生初始群体——pop=initpop(popsize,chromlength) 3.故障类型编码，每一行为一种！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。实际故障测得数据编码，这里Unnoralcode,188％ 4.开始迭代（M次）： 1）计算目标函数值：欧氏距离[objvalue]=calobjvalue(pop,i) 2）计算群体中每个个体的适应度fitvalue=calfitvalue(objvalue) 3）选择newpop=selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％ 交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％ 变异newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群体中适应值最大的个体及其适应值 6.迭代停止判断。(provide a source of artificial immune algorithm, the algorithm process include : 1. Two of the parameters set. Initial randomly generated groups-- pop = initpop (popsize, chromlength) 3. Fault type coding, each act a! Code (1 :), normal; Code (2, :), 50%; Code (3 :), 150%. Fault actual measured data coding, here Unnoralcode, 188% 4. Beginning iteration (M) : 1) the objective function value : Euclidean distance [objvalue] = calobjvalue (pop, i) 2) calculation of each individual groups of fitness calfitvalue fitvalue = ( objvalue) 3) = newpop choice selection (pop, fitvalue) objvalue = calobjvalue (newpop, i) =% newpop cross-crossover (newpop, pc, k) = calobjvalue objvalue (newpop, i) =% variation newpop mutation (newpop, pm ) objvalue = calobjvalue (newpop, i)% 5. groups sought to adapt th)
可以用于时间序列数据下的预测,以及数据模拟。(can be used to forecasting)
针对中长期电力负荷预测样本量小、多因素影响的特点,利用灰色关联度筛选影响因素,建立基于BP 神经网络算法的负荷预测模型,通过多因素变量及历史负荷变量序列进行滚动预测,得到的预测值明显优于 单一预测方法,并通过马尔可夫过程对预测残差进行修正,使预测精度得到较大提高,研究实证表明,这种预 测方法具有进行推广应用的价值 (For long-term load forecasting small sample size, the characteristics of many factors, the use of gray correlation screening factors is established based on BP Neural network algorithm for load forecasting model, the multivariable and historical load variable sequences rolling forecasts, significantly better than the predicted values obtained Single forecasting methods, and through the Markov process to amend the prediction residuals, the prediction accuracy is greatly improved, empirical studies show that pre- Method for measuring the value of popularization and application)
针对中长期电力负荷预测样本量小、多因素影响的特点,利用灰色关联度筛选影响因素,建立基于BP 神经网络算法的负荷预测模型,通过多因素变量及历史负荷变量序列进行滚动预测,得到的预测值明显优于 单一预测方法,并通过马尔可夫过程对预测残差进行修正,使预测精度得到较大提高,研究实证表明,这种预 测方法具有进行推广应用的价值 (For long-term load forecasting small sample size, the characteristics of many factors, the use of gray correlation screening factors is established based on BP Neural network algorithm for load forecasting model, the multivariable and historical load variable sequences rolling forecasts, significantly better than the predicted values obtained Single forecasting methods, and through the Markov process to amend the prediction residuals, the prediction accuracy is greatly improved, empirical studies show that pre- Method for measuring the value of popularization and application)
LSSVM时间序列预测，基于matlab lssvm工具箱！推荐！！！！！(LSSVM time series prediction is based on MATLAB LSSVM toolbox. Recommend!!!!!)
这是一篇关于机器学习中软件缺陷预测的代码，里面包含PSO,LDA,TCA等代码(This is a machine learning software defect prediction code, which contains PSO, LDA, TCA and other code)
MRMR和relieff特征选择方法，很经典的，简单易用！(The the MRMR and the relieff feature selection method, very classic, simple and easy to use!)
上人工智能课程时做的作业，模糊pid控制，采用matlab模糊控制工具箱与simulink建模，测试效果不错，附带模糊pid的原理ppt(matlab/simulink code about fuzzy pid control.)
说明： 基于粒子群PSO算法的神经网络PID算法的实现程序(Implementation of neural network PID algorithm based on PSO algorithm)
著名的cox数字水印算法源代码,使用matlab编写,很有用噢！,(Famous cox digital watermarking algorithm source code, the use of matlab, very useful oh!)
基于神经网络的数字水印提取,数字图像水印嵌入与提取，自己辛辛苦苦编的。( Study on Digital Image Watermarking Algorithms based on Artificial Neural Networks )
蚁群优化算法 进行优化 可用于参数寻优 故障诊断(The ant colony optimization algorithm to optimize)
说明： CEC 2014 测试函数集，matlab版本(Matlab version code for cec2014 benchmark functions zip)
基于遗传算法优化的BP神经网络，可以作为诊断分类使用(Genetic Algorithm Optimization of BP neural network can be used as a diagnostic classification)
说明： matlab实现卷积神经网络，适合于新手学习，有基础的可以不看。(Realization of convolution neural network with MATLAB)
利用BP神经网络拟合三维函数，通过训练学习预测函数输出。(BP neural network fitting three-dimensional function, through training to learn prediction function output.)
粒子群算法源程序，一个完整的粒子群算法程序，供大家一起学习和参考。(Source program of particle swarm optimization (pso), a complete procedure of particle swarm optimization (pso), for everybody to learn together and reference.)
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