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共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-Neural network cases
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利用PSO训练BP神经网络的MATLAB源码-PSO training using BP neural network MATLAB source
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pso优化bp神经网络的程序,是师兄论文里的程序,希望对大家有用!-PSO bp neural network optimization procedure is the senior thesis in the process, I hope useful for all of us!
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这是一个采用粒子群算法优化bp神经网络权值的MATLAB程序-This is a particle swarm optimization using neural network weights bp MATLAB program
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利用pso算法训练人工神经网络的源代码。-PSO algorithm for the use of training artificial neural network source code.
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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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模糊神经网络matlib实现,希望对大家有用!-Fuzzy neural network matlib realize the hope for all of us!
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聚类的PSO算法,很重要的方法,很好的算法-PSO clustering algorithm, a very important way, a good algorithm
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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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一个matlab写的pso结合神经网络的预测分析程序,代码完全可以运行-Pso wrote a matlab neural network prediction analysis with the program, the code can run
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基于PSO的小波神经网络,有PSO的详解文档,wnn应用,效果一般-Wavelet neural network based on PSO, PSO' s Detailed documents are, wnn application, the general effect
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bp神经网络,希望大家多多交流,谢谢!非常感谢大家的帮助!-bp neural network, I hope you interact more, thank you! Thank you very much for your help!
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MATLAB神经网络30个案例分析__读者调用案例的时候,只要把案例中的数据换成自己需要处理的数据,即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as
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利用改进粒子群训练bp神经网络的matlab程序\利用改进粒子群训练RBF神经网络的-Improved Particle Swarm training bp neural network matlab program \ using improved particle swarm training RBF
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本文将 改进的PSO优化算法与 BP网络算法相结合, 完全
基于BP网络算法的基本思想, 是在基本 BP算法的误
差反向传播调整权值的基础上, 再引入 PSO 算法进行
权值修正, 是严格意义上的基于 PSO的 BP网络算法.-pso programming for improved bp neural network
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一个利用粒子群优化算法训练BP神经网络的程序,在matlab环境中,代码简便可行。-A particle swarm optimization algorithm is used to train the BP neural network program, in the MATLAB environment, the code is simple and feasible.
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基于粒子群算法优化BP神经网络参数的matlab程序,极大地提高了预测精度。-Based on particle swarm optimization BP neural network parameters matlab program, which greatly improved the prediction accuracy.
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matlab预测程序集合,适用于数学建模大赛,直接数据导入就可以用。包括灰色模型预测程序2个,gm10,greymodel,高斯混合模型mixture_of_gaussians,以及BP神经网络优化模型,遗传算法优化,Genetic,粒子群算法优化,PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
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PSO优化BP神经网络 MATLAB版本2016a PSO优化BP神经网络的权值和阈值 有详尽的注释 并结合2016a的新版本函数特性,优化了算法(PSO optimization BP neural network MATLAB version 2016a PSO optimization BP neural network weights and thresholds Detailed comments and combined with the 2016a new version of t
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粒子群算法优化的BP神经网络与传统BP神经网络对比(Comparison between BP neural network optimized by particle swarm optimization and traditional BP neural network)
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