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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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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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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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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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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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bp神经网络函数逼近源代码 程序精简 有必要的解说-bp neural network function approximation source code
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用神经网络来做函数逼近，里面的解释详细，适合初级学者-To do with the neural network function approximation, which explained in detail, for junior scholars
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