搜索资源列表
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3下载：
模糊神经网络实现函数逼近与分类，实现模糊规则的提取。,Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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使用BP神经网络实现函数的逼近并附带着fig文件，还有一个简单的感知器-The use of BP neural network function approximation with a document with a fig, as well as a simple perceptron
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我以前写的一个的神经网络学习函数逼近和分类的例子，商用级的。-I have previously written a study of the neural network function approximation and classification of examples, business class.
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神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
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这是用BP神经网络实现函数逼近的MATLAB源程序。-This is by BP neural network function approximation of MATLAB source.
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3下载：
模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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0下载：
模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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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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ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, si
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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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用matlab实现神经网络函数逼近，不使用库函数-With the realization of neural network function approximation matlab not to use the library function
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基于BP神经网络算法的函数逼近，利用matlab实现BP算法逼近任意非线性函数-BP neural network algorithm based on function approximation, using matlab to achieve BP algorithm approximate any nonlinear function
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遗传算法 优化 BP神经网络 非线性函数 拟合-Genetic algorithm BP neural network nonlinear function approximation
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Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car us
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神经网络用于函数逼近的matlab源代码-Neural Network Function Approximation
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A project for function approximation by RBF neural network (with GUI).
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建立了自适应神经一直觉模糊推理系统，直觉模糊神经网络的函数逼近能力
-The establishment of adaptive neuro-fuzzy inference system intuitive, intuitive fuzzy neural network function approximation ability
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人工智能里面的一个重要内容神经网络的BP网络函数逼近问题，关于一些函数的使用方法-An important element of the neural network artificial intelligence inside the BP neural network function approximation problem, with regard to the use of some functions
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人工智能及其运用实验亿基于BP神经网络算法的函数逼近-Artificial Intelligence and its use of experimental one hundred million based on BP neural network function approximation algorithm
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