▍1. ccpso2
一种改进的PSO，CCPSO2，该文章发表在IEEE上(An improved PSO, CCPSO2, the article was published in the IEEE)
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▍2. CNN
CNN 卷积神经网络，是深度学习的理论基础，能帮助加深对深度学习的认识.(CNN is the basis of deep learning. It can help researches to get better understanding of deep learning.)
▍4. PSOTool
求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强等优点。粒子群优化算法已在函数优化、神经网络设计、分类、模式识别、信号处理、机器人技术等许多领域取得了成功的应用。 本函数包带函数，测试函数与使用简介(Methods for solving nonlinear equations and the recent popular classical algorithm genetic algorithm. Newton s method and its improved form, but such convergence of the algorithm is largely dependent on the choice of the initial point, for some nonlinear equations solved easily lead to failure In order to overcome the shortcomings of classical algorithms designed for solving nonlinear Equations hybrid genetic algorithm, but still on the equations and the encoding method has high requirements. PSO is social behavior by birds or fish inspired the formation of a population-based stochastic optimization techniques. It is a class of stochastic global optimization technique, through complex interaction between particles found in the search space optimum area. The algorithm is a novel based on swarm intelligence evolutionary computation techniques, with a simple and easy to achieve, set few parameters, global optimization ability, etc.. Particle swarm optimization in function optimizatio)
▍5. PSOTool
求解非线性方程组方法有经典算法以及近年来流行的遗传算法．牛顿法及其改进形式,但是此类算法的收敛性在很大程度上依赖于初始点的选择，对于某些非线性方程组容易导致求解失败 为了克服经典算法的缺点，设计了求解非线性方程组的混合遗传算法,但依然对方程组和编码方法有很高要求。PSO是受到鸟群或者鱼群社会行为的启发而形成的一种基于种群的随机优化技术。它是一类随机全局优化技术，通过粒子间的相互作用发现复杂搜索空间中的最优区域。该算法是一种基于群体智能的新型演化计算技术，具有简单易实现、设置参数少、全局优化能力强等优点。粒子群优化算法已在函数优化、神经网络设计、分类、模式识别、信号处理、机器人技术等许多领域取得了成功的应用。 本函数包带函数，测试函数与使用简介(Methods for solving nonlinear equations and the recent popular classical algorithm genetic algorithm. Newton s method and its improved form, but such convergence of the algorithm is largely dependent on the choice of the initial point, for some nonlinear equations solved easily lead to failure In order to overcome the shortcomings of classical algorithms designed for solving nonlinear Equations hybrid genetic algorithm, but still on the equations and the encoding method has high requirements. PSO is social behavior by birds or fish inspired the formation of a population-based stochastic optimization techniques. It is a class of stochastic global optimization technique, through complex interaction between particles found in the search space optimum area. The algorithm is a novel based on swarm intelligence evolutionary computation techniques, with a simple and easy to achieve, set few parameters, global optimization ability, etc.. Particle swarm optimization in function optimizatio)
▍6. DBSCAN-CODE
说明： DBSCAN是一个比较有代表性的基于密度的聚类算法。与划分和层次聚类方法不同，它将簇定义为密度相连的点的最大集合，能够把具有足够高密度的区域划分为簇，并可在噪声的空间数据库中发现任意形状的聚类。(A representative clustering algorithm based on DBSCAN is density. Different from the partition and hierarchical clustering methods, it defines a cluster as the largest set of density connected points. It can divide the region with enough high density into clusters, and can find clusters of arbitrary shape in the spatial database of noise.)
▍7. CNN
matlab下实现cnn，包含cnn各层函数的m文件及相应注释，适合入门。(matlab, cnn, including the functions of each layers and annotations, useful and helpful)
▍8. CNN
说明： matlab下实现cnn，包含cnn各层函数的m文件及相应注释，适合入门。(matlab, cnn, including the functions of each layers and annotations, useful and helpful)
▍9. absorber-design
基于GA算法的吸波材料涂层优化设计，分层涂层设计(GA-based algorithm to optimize the design of radar absorbing material coating)
▍10. linbppid1
bp神经网络pid控制小车倒立摆的摆角和小车的位移(inverted pendulum control bppid car)
▍11. adaboost_bp
集合BP神经网络的adaboost，用matlab编写，代码清晰，有备注(Adaboost of BP neural networks)
▍12. gplab.2.1.bugfixes.20061024
说明： 此遗传规划工具箱,功能强大,适应性强.上手容易.(The genetic programming toolbox, powerful and adaptable. Get started easily.)
▍13. FCM-Overfitting--Subtractive
此文件包含三个文件，分别是模糊均值聚类算法，过拟合和减法聚类。(This file contains three documents, namely fuzzy means clustering algorithm, over-fitting and subtraction clustering.)
▍14. waveletpsoann_longchuan
可以用于预测的小波分解下的粒子群算法的神经网络预测(wavelet pso ann for predict)
▍15. VMD
使用可变模式分解的神经网络预测模型，可用于风速、电价预测等等。(Neural network prediction model using variable pattern decomposition can be used for wind speed, price forecasting and so on.)
▍16. BP神经网络模型
说明： matlab开发的BP神经网络模型，经过调试，运行正常(The BP neural network model developed by MATLAB runs normally after debugging)
▍17. 111
说明： bergeron仿真贝吉龙过程，温度低于0℃且过冷却水滴、冰晶、水汽共存的云区，由于冰面的饱和水汽压低，而水面的饱和水汽压高，因此便会有这样的情况出现，即当云中的水汽压处于冰面和水面饱和值之间时，水汽在冰晶上凝华而使冰晶长 大，而水滴会不断蒸发变小或消失，形成冰晶“ 夺取”水滴的水分和原来云中水汽的冰水转化过程。(The saturated water vapor pressure of the bergeron surface is high, so there will be a situation where the water vapor in the cloud is between the ice surface and the saturation value of the water surface, the water vapor condenses on the ice crystals and causes the ice crystals to grow, and the water droplets will The evaporation continues to become smaller or disa)
▍18. NSGA-II
多目标无功优化算法，采用遗传算法，非支配排序，前推回代潮流计算(Multi-objective reactive power optimization)
▍19. bp神经网络
说明： bp神经网络按照误差逆向传播算法训练的多前馈神经网络(BP neural network multi feedforward neural network trained by error back propagation algorithm)
▍20. 跳频序列相关源代码
实现一个16×32的跳频序列，里面有自相关的检测代码(Realization of Frequency Hopping Sequence)
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