搜索资源列表
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This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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An Improved PSO Algorithm to Optimize BP Neural Network
Abstract
This paper presents a new BP neural network
algorithm which is based on an improved particle swarm
optimization (PSO) algorithm. The improved PSO (which
is called IPSO) algori
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PSO算法优化BP神经网络，数学建模模拟退火算法的改进-PSO algorithm to optimize the BP neural network, mathematical modeling simulated annealing algorithm improve
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一个基于粒子群优化径向基神经网络参数的程序-A radial basis function neural network parameters based on particle swarm optimization program
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pso algorithm for optimize and training MLP neural network
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基于粒子群优化算法和BP神经网络的混合算法，用于求解复杂问题！-The hybrid algorithm of particle swarm optimization algorithm based on BP neural network and, for complex problem solving!
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pso-bp神经网络优化程序，可对多类故障进行分类。-pso-bp neural network optimization procedures, multi-fault classification.
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粒子群优化BP神经网络，代码通俗易懂，学习一下-PSO Optimize BP neural network, the code easy to understand
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用PSO算法优化神经网络的一个程序，可以实现的。只需要改改数据就好了-Using PSO algorithm to optimize neural network, a program can be implemented. You just need to change the data
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the matlab code of pso particular swarm
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实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
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pso优化bp神经网络的权值和阈值，大家可以看看。(PSO optimization BP neural network weights and thresholds, we can see.)
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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
清空环境变量
粒子初始化
初始种群极值
迭代寻优
最优个体控制(The code is the system control algorithm of PID neural network based on PSO algorithm optimization
Empty the environment variable
Particle initialization
Initial population extremum
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POS优化BP神经网络。利用POS的优化性能(POS optimization of BP neural network)
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粒子群算法优化BP神经网络，可用于指标预测(BP neural network optimized by Particle swarm optimization (PSO) that can be used for index prediction)
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一种基于粒子群算法的bp神经网络优化，程序可用。(A BP neural network optimization based on particle swarm algorithm is available.)
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使用粒子群算法优化bp神经网络,完成函数逼近(Optimize bp neural network using particle swarm optimization algorithm to complete function approximation)
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用粒子群算法对BP神经网络进行训练
亲测可用！(BP Neural Network Training with Particle Swarm Optimization Pro-test is available!)
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用粒子群优化BP神经网络matlab代码
%以下是训练数据，前4列为输入，第5列为输出
5.700 3.800 0.3175 2.33 2310
4.550 3.050 0.3175 2.33 2890
2.950 1.950 0.3175 2.33 4240
1.950 1.300 0.3175 2.33 5840
1.400 0.900 0.3175 2.33 7700
1.200 0.800 0.3175 2.33 8270
1.050 0.700 0.3175
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极限学习机，单隐层前馈神经网络，算法源程序。(Extreme learning machine, single hidden layer feedforward neural network, algorithm source code.)
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