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用PSO算法优化神经网络，全面，并且有数据，这是我的毕业设计，得到了老师的认可，希望得到大家的认可。-PSO algorithm used to optimize neural network, comprehensive, and there is data, this is my graduation project, approved by the teachers hope that it will be recognized by everyone.
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基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合，用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂。-Based on Particle Swarm and the BP neural network algorithm for hybrid optimization strategy. Will improve the PSO algorithm and BP neural network, using PSO algorithm to re
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利用PSO算法优化BP神经网络的MATLAB源码，绝对优良的源码-PSO algorithm to optimize the use of BP neural network, MATLAB source code, source code is absolutely fine
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用粒子群算法优化rbf神经网络算法的源程序-Using the particle swarm optimization algorithm to optimize the neural network algorithm
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用粒子群算法来优化神经网络的训练，关于含有交叉因子的粒子群算法-Particle swarm optimization to optimize the neural network training, containing cross-factor particle swarm optimization
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粒子群算法（PSO）优化BP神经网络，用来进行非线性的校正，效果良好-Particle swarm optimization (PSO) to optimize BP neural network, used for non-linear correction, to good effect
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应用鸟群算法（PSO）优化全局神经网络权值，可以使用-Applications birds (PSO) algorithm to optimize the overall neural network weights, you can use
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本程序是用粒子群算法优化神经网络算法的MATLAB源程序-This MATLAB procedure is to use particle swarm algorithm to optimize neural network algorithm
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多变量输入、输出、多干扰、非线性和强耦合的复杂系统控制是一个比较困难的问题，常用的控制器可能因为多变量耦合问题难以控制系统。PID神经元网络是一种多层前向神经元网络，它的各层神经元个数、连接方式、连接权值是按照PID控制规律的已有原则和经验确定的，是一种动态的符合控制系统的前向网络。但是由于PID网络初始权值随机取值的原因，每次控制的效果都有所差别，个别情况下控制效果还比较差。本案例研究了基于PID神经元的多变量耦合系统控制，并用PSO算法来优化控制器以取得更好的控制效果。-Multivaria
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利用PSO算法优化BP神经网络，得到适应度函数曲线图-PSO to optimize the BP neural network
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遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
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是PSO优化BP神经网络的程序，调试过，可以执行-Is the process of the PSO to optimize the BP neural network, debugging through, can perform
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该代码为基于pso算法优化的PID神经网络的系统控制算法-This code is based on pso algorithm to optimize PID control algorithm of the neural network system
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神经网络构建，粒子群算法优化BP神经网络迭代寻优-Neural network building , iterative particle swarm algorithm to optimize the BP neural network optimization
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利用粒子群算法（PSO）来优化BP神经网络的权值和阈值，可运行，fun.m是用来计算适应度（误差）值的，在PSO.m中点击运行即可。-Using particle swarm optimization (PSO) to optimize the BP neural network weights and threshold, can run, fun.m is used to calculate the fitness value (error)
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用粒子群算法来训练网络参数，直到误差趋于一稳定值，然后用优化的权值用于BP算法-PSO is used to optimize connection weights of forward-back neural network until the learning error has tended to stability, Then we use BP algorithm with optimized weights to finish short-term load forecasting
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分别使用PSO和GA优化BP神经网络的参数，用于非线性函数拟合(PSO and GA are used to optimize the parameters of the BP neural network for nonlinear function fitting)
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通过pso优化rbf神经网络来提高信号的预测效果，以达到比单独使用rbf神经网络更好的预测效果(Optimize rbf neural network through pso to improve signal prediction performance to achieve better prediction effect than using rbf neural network alone)
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神经网络算法，适合适合科研人员和学生进行优化和调参。新手理解鱼群算法，希望大家可以认真学习其中的道理。(Neural network algorithm is suitable for scientific researchers and students to optimize and participate. Novice understands Fish Swarm Algorithms, I hope you can seriously learn the truth.)
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用pso对bp神经网络进行优化，对软土路基进行沉降预测(Using PSO to optimize BP neural network to predict the settlement of soft soil subgrade)
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