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An Improved Conjugate Gradient Algorithm for Radial Basis Function (RBF) Networks Modelling pdf
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radial basis function network is an artificial neural network that uses radial basis functions a ctivation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis functi
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径向基神经网络预测算法，用于单一样本的预测，也可用作模式识别。-Prediction algorithm of radial basis function neural network, used to predict single sample, also can be used for pattern recognition.
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针对一类非线性动态系统给出了一种基于RBF(径向基函数)神经网络的模型参考自适应控制算法,控制器的结构中使用RBF网络来动态的补偿系统的非线-A class of nonlinear dynamic systems presents a model reference adaptive RBF (Radial Basis Function) neural network control algorithms, structure of the controller using RBF netwo
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利用BP神经网络与RBF（径向基函数）网络对三类目标（W.zip, T.zip, B.zip）进行分类，比较两种网络的分类性能-BP neural network and RBF (Radial Basis Function) network on three goals (W.zip, T.zip, B.zip) categorize performance comparison of the two networks
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Detection of bearing defects in three-phase induction motors using Park’s transform and radial basis function neural networks
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径向基函数网络(RBF)特点：1)可用于任意维空间的插值；2)训练速度和插值速度较慢；3)一旦训练成功，只要存储权系数矩阵即可，适用于海量数据的插值；4)当数据不全时，可以用于数据补全。
-Radial basis function (RBF) network features: 1) can be used in any dimensional space interpolation 2) interpolation and the training speed slower 3) o
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matlab神经网络原理与实例精解的matlab源代码，包括matlab快速入门、单层感知器、线性神经网络、BP神经网络、径向基函数网络、自组织竞争神经网络、随机神经网络等各章节源码，是学习神经网络的有力助手，里面包含matlab库函数工具箱的应用，也有手算代码。-matlab neural network theory and examples of fine solution matlab source code, including matlab QuickStart, single se
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自适应神经网络图书馆（Matlab的5.3.1或更高版本）是实现多个自适应神经网络具有不同的自适应算法块的集合。
它主要分布于2001年6月 - 7月詹皮耶罗坎帕（西弗吉尼亚大学）和马里奥·卢卡Fravolini（佩鲁贾大学）。后来改善部分由美国航天局资助NCC5-685支持。
有迹象表明，实施基本上这些种神经网络的块：
自适应线性网络（ADALINE）
多层感知层网络
广义径向基函数网络
动力单元结构（DCS）网络的高斯或圆锥形基函数
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Top 10 Matlab Do’s, Don’ts, and How Tos
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Creates a bump function, frequently used in parameterization for image reconstruction problems as radial basis function. Also known as 2D-gauss function.-Creates a bump function, frequently used in parameterization for image reconstruction problems
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Radial basis function neural network
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Radial basis function neural network Algorithm wavelet
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基于神经网络径向基网络预测地下水位的matlab编程-Radial basis function network based on neural network to predict groundwater level matlab programming
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神经网络中径向基函数RBF用于曲线拟合。这是一个应用RBF的具体例子。-Neural networks of radial basis function RBF for curve fitting. This is a concrete example of an application of RBF.
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神经网络中径向基函数RBF用于曲线拟合。这是另一个应用RBF的具体例子。-Neural networks of radial basis function RBF for curve fitting. This is a concrete example of another application RBF.
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该程序实现各个径向基网络函数的功能，并进行实例分析。-The function of the program to realize the radial basis function network, and the example analysis.
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Radial Basis Function interpolation-RBF was originally developed for scattered multivariate data interpolation (Hardy 1971). It uses
a series of basis functions that are symmetric and centred at each sampling point. Radial basis
functions are a s
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k mean cluster for radial basis function neural network
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RBF径向基函数神经网络。8维并行输入，3维并行输出。-RBF network（Radial Basis Function ）with 8 dimensional parallel input, 3 dimensional parallel output.
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