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本程序的作用为用遗传算法训练神经网络,其中包含遗传算法模块,神经网络模块,对研究智能算法的编程者具有很好的帮助。-The role of this procedure for the use of genetic algorithm trained neural network, which contains the genetic algorithm module, neural network module, the study of intelligent algorithms progr
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GENNET是一个通过遗传算法优化权重的16个神经元的全连接神经网络。训练目的是使网络在一定假设的激励下,随时间产生同目标函数同样的响应,即:可以把此网络制作为一个任意波形的信号发生器。
程序分3个示例说明遗传算法进化过程中网络输出的变化趋势。可以看出网络输出(蓝色曲线)随着时间变化逐渐逼近目标函数(红色曲线)。此程序不仅可以学习遗传算法,也可以用于研究全连接网络的直观示例。-GENNET is a genetic algorithm to optimize the weights b
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介绍了PSO算法,以及与遗传算法/人工神经网络的区别,并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.
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一个用遗传算法优化神经网络程序的代码(好),很好的。-A neural network using genetic algorithm optimization procedure code (good), very good.
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基于遗传算法的优化bp神经网络的源代码,希望对大家有所帮助-Bp neural network genetic algorithm optimization
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决策模拟系统,采用C++编写,算法用遗传算法和单层神经网络-Decision-making simulation system, written using C++, algorithms using genetic algorithm and single-layer neural network
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同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练,模糊系统控制以及其他遗传算法的应用领域,基于Java语言实现。-Compared with the genetic algorithm, PSO has the advantage is simple and easy and there is no need to adjust many parameters. Has been widely applied to function o
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关于多智能体遗传算法优化神经网络的MATLAB程序-On multi-agent genetic algorithm to optimize the MATLAB neural network program
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GA遗传算法资料大整合,包括基于遗传算法的模糊神经网络控制和遗传算法在图书采购决策中的应用等等,很全的遗传算法总结-GA GA large data integration, including the genetic algorithm based fuzzy neural network control and genetic algorithms in the book of the procurement decision-making, etc., are all summed up
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Neural Network and Genetic Algorithm program
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遗传算法优化BP神经网络的权值和阈值,进行预测-BP neural network genetic algorithm to optimize the weights and thresholds to predict
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遗传算法与神经网络模型源代码,用于模糊计算的模拟,大家可以修改应用-Genetic algorithm and neural network model source code
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根据遗传算法和BP神经网络理论,在MATLAB软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-Based on genetic algorithm and BP neural network, software, programming in MATLAB genetic algorithm based on BP neural network fitting algorithm of nonlinear systems.
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This is an PPT about Artificial Neural Network and Genetic Algorithm
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关于概率神经网络以及遗传算法的相关文章,很全面-On probabilistic neural network and genetic algorithm-related articles, very comprehensive
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网络结构、初始连接权值和阈值的选择对网络训练的影响很大,但是又无法准确获得,针对这些特点可以采用遗传算法对神经网络进行优化-Network structure, initial connection weights and threshold selection a great impact on the network training, but it is impossible to accurately obtain, these features can be used for the
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介绍一种遗传算法和神经网络结合特征提取的方法-Introduce a genetic algorithm and neural network feature extraction method
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基于遗传算法和小波神经网络的语音识别系统,此系统识别率可以到较高-Based on genetic algorithm and neural network speech recognition system, this system can be to a higher recognition rate
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遗传算法程序,可进行其他神经网络的优化处理。-Genetic algorithm program, other neural network can be optimized.
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遗传算法优化BP神经网络-非线性函数拟合-BP neural network genetic algorithm- linear function fitting
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