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4下载：
利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples
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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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用遗传算法来优化BP神经网络，进行网络训练，包含有实验数据-Using genetic algorithms to optimize the BP neural network, the network training, includes the experimental data
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这是一个采用遗传算法优化bp神经网络权值阈值的MATLAB程序-This is a genetic algorithm to optimize neural network weights bp threshold MATLAB program
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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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使用蚁群算法及改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm to optimize the BP neural network program
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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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遗传算法优化BP神经网络权值和阈值的通用MATLAB源码-Genetic algorithm to optimize the BP neural network weights and thresholds of common MATLAB source
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用遗传算法优化BP神经网络 希望帮助到大家 -Genetic algorithm to optimize BP neural network to help you Thank you
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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-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
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由于BP神经网络初始神经元之间的权值和阈值一般随机选择，因此容易陷入局部最小值。本方法使用遗传算法优化初始神经元之间的权值和阈值，并对比使用遗传算法前后的效果。-Since the initial BP neural network weights between neurons and thresholds generally random selection, it is easy to fall into local minimum. This method uses a genetic
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遗传算法的基本程序，主要的步骤，举例说明怎么应用遗传算法优化BP神经网络-GA basic procedures, main steps, illustrate how the application of genetic algorithm to optimize BP neural network
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本文档是使用遗传算法（GA）优化BP神经网络的编程实例，运行环境为matlab r2007b,内有注释-This document is the use of genetic algorithms (GA) to optimize BP neural network programming examples, the operating environment for matlab r2007b, there are notes
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用遗传算法去优化BP神经网络，使控制更加精准(Genetic algorithm is used to optimize BP neural network)
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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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用蚁群算法优化bp神经网络，增加预测精度(Using ant colony algorithm to optimize BP neural network and increase prediction accuracy)
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16下载：
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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退火算法优化BP神经网络的研究，介绍了一种新的方法(Annealing algorithm to optimize BP neural network)
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