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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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PSO优化RBF神经网络,优化权值后代入神经网络中进行预测结果。-PSO optimization RBF neural network to optimize the weight offspring into the neural network to predict the outcome.
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pso algorithm for optimize and training MLP neural network
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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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粒子群算法PSO和万有引力算法GSA结合优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm PSO and universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets
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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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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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