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智能优化算法：
粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。
程序来自：Brian Birge
NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden
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标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络
粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
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此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
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我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
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小波神经网络模型，采用粒子群算法优化，包含单输入、多输入-Wavelet neural network model, using particle swarm optimization, including single-input, multiple-input
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Matlab粒子群算法优化RBF网络
采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
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粒子群算法、遗传算法优化RBF径向基神经网络。-Particle swarm optimization, genetic algorithm optimization of RBF Radial Basis Function Neural Networks.
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模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
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一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。-A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.
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一篇关于粒子群算-遗传算法优化BP神经网络的文章，应用背景股票预测。-Article on the particle swarm optimization- genetic algorithm BP neural network articles, application background stock forecasting.
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mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
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人工神经网络识别字符，并用遗传算法，粒子群算法优化了神经网络权值-Artificial neural network to recognize the characters, and using genetic algorithms, particle swarm optimization neural network weights
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粒子群优化算法（PSO）应用于神经网络优化程序-Particle swarm optimization (PSO) algorithm is applied to the neural network optimization program
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使用粒子群算法、遗传算法优化RBF径向基神经网络的matlab程序-Using particle swarm algorithm, genetic algorithm to optimize the RBF RBF neural network matlab program
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matlab粒子群经典算法，包含神经网络各个经典的小程序，环境为matlab-matlab Artificial neural network algorithm for the classic
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粒子群神经网络的预测编程实现,电力负荷预测本人已实现-Particle Swarm neural network predictive programming, I realized the power load forecast
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粒子群算法、遗传算法优化RBF径向基神经网络-Particle swarm optimization, genetic algorithm optimization RBF RBF neural network
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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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主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
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