搜索资源列表
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用GA训练BP网络的权值、阈值从而优化神经网络-GA training BP network with the right value, the threshold in order to optimize the 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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GA Algorithm optimize the bp neural network
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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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用BP神经网络优化模糊控制器，进行学习，系统有两个输入，输出误差曲线和期望曲线，BP学习误差曲线-BP neural network to optimize the fuzzy controller learning system has two inputs, the output error curve and expectations of the curve, the BP learning error curve
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对遗传算法的参数进行设定，优化BP神经网络的参数，最后能加以应用。-Set the parameters of the genetic algorithm to optimize the parameters of the BP neural network, and the last to be applied.
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修改过的用c语言编写的遗传算法优化BP神经网络初始阈值的程序，效果还行。可根据实际情况加一些归一化。-Modified genetic algorithm to optimize BP neural network initial threshold c language program, the effect is okay. Actual situation according to add some normalization.
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通过遗传算法优化BP神经网络权系数，达到局部的最有、优-By genetic algorithm to optimize BP neural network weight coefficient to reach the most local, excellent
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遗传算法优化BP神经网络的权权值的matlab程序源代码。
-BP neural network genetic algorithm to optimize weight weights matlab program source code.
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BP神经网络和遗传算法优化的BP神经网络-BP neural network and genetic algorithm to optimize BP neural network
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利用遗传算法优化BP神经网络权值和阈值的matlab-The use of genetic algorithm to optimize BP neural network weights and threshold
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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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基于遗传算法的BP神经网络优化算法的MATLAB代码，用遗传算法优化BP网络计算。-BP neural network based on genetic algorithm (ga) optimization algorithm of MATLAB code, and use genetic algorithm to optimize BP network computing
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bp神经网络设计使PID得三个参数达到优化，使系统性能最佳-bp neural network was designed to make the PID three parameters to optimize that system performance
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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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基于发现蚁群算法优化神经网络是利用蚁群算法在解空间寻找出一组最优的权值和阈值，然后将这一组解带回到神经网络进行细致优化，从而得到最好的权值和阈值。(Found that the ant colony algorithm to optimize the neural network based on Ant Colony Algorithm in the solution space to find a set of optimal weights and threshold based on,
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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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针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
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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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