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用matlab编写的用遗传算法优化的神经网络的算法,读者可以根据需要进行相应参数的定义。-Prepared using matlab optimization using genetic algorithm neural network algorithm, readers can be required to carry out the corresponding definition of parameters.
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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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基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题,并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类,并附加线性感知器来实现单字符的有效识别,算法简便,识别率高,可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
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ga优化神经网权值&阈值程序。为了方便,我把几个matlab的程序都放在txt文件里,使用时,对照把txt内容复制进matlab即可-ga optimization neural network weights & threshold procedures. For convenience, I have several matlab programs on the txt file, use, control the content of the txt you copied into
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Genetic Algorithm + Neural Network for caracteristic optimization-Genetic Algorithm+ Neural Network for caracteristic optimization
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ga优化神经网权值&阈值程序。
优化的基本原理和过程很多论文可以查到,在此不必赘述我就把用gaot5的小程序贴在下面吧,也是y=1/x-ga optimization neural network weights & threshold procedures. Optimization of the basic principles and processes can be found in many papers, do not have to go into details he
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这是神经网络里面结构优化里面重要的剪枝方法之一,灵敏度剪枝方法。-This is a neural network structure optimization inside one of the methods inside the major pruning, sensitivity pruning method.
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用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin
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神经网络的优化,神经网络中的若干问题研究-Neural network optimization, neural network study of a number of issues
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一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。-A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.
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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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mtlab粒子群优化模糊RBF神经网络整定PID控制-mtlab Particle Swarm Optimization Fuzzy RBF neural network PID control tuning
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微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运
动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它
的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起
了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领
域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是
理论分析还是实践应用都尚未成熟,有大量的问题值得研究。
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数学建模中的常用算法 - 算法分析 - 道客巴巴
数学建模中的常用算法 成都信息工程...最优化理论的三大非经典算法: 模拟退火法SA、神经网络NN、遗传算法GA 近几年的...
-Commonly used mathematical modeling algorithm- Algorithm Analysis- Road passenger Baba mathematical modeling algorithms used in the Chengdu Univers
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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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神经网络相关ppt,主要包括BP算法和感知器优化算法相关介绍-Neural network-related ppt, including BP algorithm and optimization algorithm related presentations perceptron
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连续Hopfield神经网络的优化-旅行商问题优化计算,一共四个文件-Continuous Hopfield neural network optimization traveling salesman problem optimization calculation, a total of four documents
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用遗传算法优化BP神经网络MATLAB编程实例-Optimization for BP neural network with genetic algorithm
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本书介绍了神经网络常用算法、优化算法及其混合编程实现-This book presents a commonly used neural network algorithms, optimization algorithm and its hybrid programming
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粒子群优化算法(PSO)应用于神经网络优化程序-Particle swarm optimization (PSO) algorithm is applied to the neural network optimization program
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