用二阶振荡粒子群优化算法、混沌粒子群优化算法、基于选择的粒子群优化算法、基于交叉遗传的粒子群优化算法、基于模拟退火的粒子群优化算法求解无约束优化问题(Second order oscillation PSO, chaotic particle swarm optimization algorithm, particle swarm optimization, genetic optimization algorithm based on cross particle swarm optimization algorithm based on simulated annealing Particle Swarm unconstrained optimization problems)
一种 较新的聚类算法 Dominant-set 的代码，包括聚类算法的代码和测试代码。该算法最大特点 就是基于图理论的 ，相对于Normalized Cut,计算复杂度低很多，况且能自动决定类的个数 (A relatively new clustering algorithm Dominant-set the code, including the clustering algorithm code and test code. Most prominent feature of the algorithm is based on graph theory, and compared with the Normalized Cut, much lower computational complexity, decision Moreover automatically the number of categories)
先利用卷及神经网络提取数据特征，再加svm进行分类(The first use of volume and neural network feature extraction data, together with the classification svm)
Learning to Detect a Salient Object 文章的代码实现(Learning to Detect a Salient Object code article)
各种粒子群或改进型粒子群算法 1）粒子群优化算法(求解无约束优化问题) 1>PSO(基本粒子群算法) 2>YSPSO(待压缩因子的粒子群算法) 3>LinWPSO(线性递减权重粒子群优化算法) 4>SAPSO(自适应权重粒子群优化算法) 5>RandWSPO(随机权重粒子群优化算法) 6>LnCPSO(同步变化的学习因子) 7>AsyLnCPSO(异步变化的学习因子)(算法还有bug) 8>SecPSO(用二阶粒子群优化算法求解无约束优化问题) 9>SecVibratPSO(用二阶振荡粒子群优化算法求解五约束优化问题) 10>CLSPSO(用混沌群粒子优化算法求解无约束优化问题) 11>SelPSO(基于选择的粒子群优化算法) 12>BreedPSO(基于交叉遗传的粒子群优化算法) 13>SimuAPSO(基于模拟退火的粒子群优化算法) (Various PSO or improved particle swarm algorithm 1) Particle Swarm Optimization (unconstrained optimization problems) 1> PSO (PSO) 2> YSPSO (PSO algorithm to be compression factor) 3> LinWPSO (linearly decreasing weight particle swarm optimization) 4> SAPSO (adaptive weight particle swarm optimization) 5> RandWSPO (random weight particle swarm optimization) 6> LnCPSO (synchronous changes in learning factor) 7> AsyLnCPSO (asynchronous learning factor changes) (algorithm also bug) 8> SecPSO (particle swarm optimization algorithm with a second-order problem solving unconstrained optimization) 9> SecVibratPSO (with a second-order oscillating particle swarm optimization algorithm for solving constrained optimization problems five) 10> CLSPSO (chaotic particle swarm optimization algorithm for solving unconstrained optimization problems) 11> SelPSO (selection-based particle swarm optimization) 12> BreedPSO (genetic optimization algorithm based )
说明： 基于matlab的基本粒子群优化算法，可应用与最优潮流计算等(The basic particle swarm optimization algorithm based on Matlab can be applied to the calculation of optimal power flow)
运用粒子群算法对ELM算法进行优化，以达到算法的最优性。(Particle swarm optimization (PSO) is applied to optimize the ELM algorithm to achieve the optimality of the algorithm.)
FieldII关于聚焦算法的例程，共含有8种不同的的聚焦情况，给出了不同聚焦深度及不同焦点的仿真图。(FieldII on the focusing algorithm routines, containing a total of 8 different focusing conditions, different depth of focus and different focus of the simulation graph.)
FieldII关于聚焦算法的例程，共含有8种不同的的聚焦情况，给出了不同聚焦深度及不同焦点的仿真图。(FieldII on the focusing algorithm routines, containing a total of 8 different focusing conditions, different depth of focus and different focus of the simulation graph.)
BP神经网络 MATLAB源码 没有用到神经网络工具箱(BP neural network source code is not used MATLAB neural network toolbox)
对多次重复时间序列(神经生物系统中神经元得放电序列，Spike train）做PSTH,并进行高斯平滑，对时间间隔进行统计分析。(compute gaussian smooth, spike ISI)
基于TOA(到达时间法）测距的定位算法程序 对学习定位的有用(Location algorithm based on TOA (time of arrival) ranging program of learning positioning useful)
MATLAB编程源代码，对拍摄的红外图像进行火焰识别。(The flame temperature is higher, and the infrared image is darker and easy to identify. The flame is identified by this program)
云自适应遗传算法云自适应遗传算法云自适应遗传算法(Cloud adaptive genetic algorithm cloud adaptive genetic algorithm the cloud adaptive genetic algorithm)
云遗传算法用于解决多模项目调度问题，仿真文章的代码，大家共享，欢迎交流(cloud genetic alogrithm for multi-mode project schedule problems )
说明： 基于粒子群优化算法的演示，包含了粒子群优化后的结果图和程序(The demonstration based on particle swarm optimization algorithm includes the result graph and program after particle swarm optimization)
极限学习机在回归拟合问题中的应用，拟合度良好，代码经过验证绝对没有错误哦(Extreme learning machine in the application of regression fitting, the fitness is good)
说明： 混沌映射sin映射初始化种群，与标准pso求解sphere函数，精度更好(The chaos map sin map initializes the population, and solves the sphere function with standard PSO, the accuracy is better)
异常检测算法，包括基于聚类的、基于分类的、基于ocsvm的异常检测算法(Anomaly detection algorithms, including those based on clustering, based on the classification based anomaly detection algorithm ocsvm)
用遗传算法求解单一水库优化调度，只需要修改相应的约束条件就可以进行优化计算了(A single reservoir with genetic algorithm is presented to solve the optimization scheduling, only need to modify the corresponding constraint conditions can were optimized )
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