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基于遗传算法优化的RBF网络逼近程序，可以参考！希望能对大家有所帮助
-based on genetic algorithm optimization RBF network approximation procedures, they can refer to. The hope is to help everyone
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基于遗传算法对rbf神经网络的径向基宽度进行优化的matlab程序,Based on genetic algorithm rbf radial basis neural network to optimize the width of the matlab program
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遗传算法优化RBF神经网络，GA-RBF，有对比-Genetic algorithm to optimize the RBF neural network, GA-RBF, compared
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基于遗传算法的RBF神经网络matlab源程序-RBF-based neural network genetic algorithm matlab source
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运用人工神经网络和遗传算法实现机器人程序能够自动排除地图中的障碍物。-The use of artificial neural networks and genetic algorithm procedures robot can automatically rule out the possibility of obstructions map.
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用遗传算法优化RBF网络参数,减小RBF网络在函数逼近中的误差-Using genetic algorithm to optimize parameters of RBF network, reducing the RBF Network in Function Approximation Error
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简介的神经网络和人工智能。并用径向基函数神经网络实现了某函数，以及MATLAB仿真遗传算法MATLAB仿真-Introduction of the neural network and artificial intelligence. And RBF neural network to achieve a certain function, as well as genetic algorithm MATLAB simulation MATLAB simulation
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matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。-matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.
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粒子群算法、遗传算法优化RBF径向基神经网络。-Particle swarm optimization, genetic algorithm optimization of RBF Radial Basis Function Neural Networks.
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讲述了遗传算法的基本原理、特点、应用领域、优化设计、应用等
例：1.基于遗传算法优化的RBF网络逼近
2.遗传算法求函数极值-About the basic principles of genetic algorithms, characteristics, applications, and optimize the design, application and other cases: 1. Based on genetic algorithm optimization of R
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这是一个利用遗传算法改进RBF程序的例子-This is a genetic algorithm using the example of procedures to improve the RBF
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基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
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基于遗传算法优化的RBF网络逼近程序(MATLAB环境编程)-Genetic algorithm-based RBF network approximation procedure (MATLAB environment, programming)
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RBF optimization with genetic algorithm
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RBF optimization with genetic algorithm(ARTICLE2)
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RBF optimization with genetic algorithm(article3)
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RBF optimization with genetic algorithm(article4)
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RBF optimization with genetic algorithm(ARTICLE5)
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自适应遗传算法优化RBF神经网络，粒子群算法优化RBF神经网络仿真结果比较。程序可直接运行-Adaptive genetic algorithm to optimize the RBF neural networks, particle swarm optimization on RBF neural network simulation results compared. Program can be run directly
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RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
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