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BP算法的C语言实现,可用于函数逼近,分类,数据挖掘应用等-BP algorithm C language can be used to function approximation and classification, data mining applications
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这是一个用RBF神经网络用梯度算法实现的一个函数逼近源代码-This is a use of RBF neural network algorithm with gradient function approximation of a source code
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人工神经网络的实验报告,用于模式识别、函数逼近和网络预测。-Artificial Neural Network Experiment Report for pattern recognition, function approximation and forecast network.
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该程序的作用用于产生正交多项式.该压缩包内含有多个M文件,其中Approximation.m文件为主要的函数文件,它会调用其他的函数文件.该函数提供了和Matlab自身提供的函数一样的条用方式.-The role of the program used to generate orthogonal polynomials. The package contains a number of M documents, including documents Approximation.m funct
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matlab函数逼近程序,里面包括了常用的matlab函数逼近的程序,包括手写的和matlab自还的函数。-matlab function approximation process, which includes the commonly used matlab function approximation procedures, including hand-written and self is also a function of matlab.
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Radial basis functions are used for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
The package also calculates line inte
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函数逼近,需要改变您的函数,本文用的是非线性函数!-Function approximation, need to change your function, this paper is a nonlinear function! Ha ha
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包含用逼近法计算不完全伽玛函数的值
用逼近法计算不完全贝塔函数的值
用逼近法计算伽玛函数的值等等
-Contains the approximation method with the incomplete gamma function approximation method to calculate the value of using incomplete beta function approximation method to calculate the value of
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Providing a unique perspective on the state of the art in SVMs, with a particular focus on classification, this thoroughly updated new edition includes a more rigorous performance comparison of classifiers and regressors. In addition to presenting va
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径向基函数神经网络Matlab源代码,非常实用-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
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神经网络拟合函数逼近简单算例,用于简单了解原理,含注释-Neural network the fit function approximation simple example for simple understanding of principles, including the Notes
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用BP网络逼近某曲线函数,在神经网络中邮广泛的应用 是系统辨识的基础。
通过反馈来不断的调整系数,限制了最大循环次数 防止进入死循环,当然如果想要得到更精确的系数可以增大循环次数。
-Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification.
Through feedback t
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用批处理最速下降法训练网络,利用Matlab scr ipt节点实现在此以对一个非线性函数的逼近作为例子来说明
-Batch steepest descent method to train the network to use Matlab scr ipt node to achieve this as an example of a nonlinear function approximation to illustrate
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无网格法移动最小二乘近似(MLS)型函数计算子程序 -Meshless method moving least square approximation (MLS) type function calculation subroutine
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BP神经网络用于函数逼近代码-The BP neural network for function approximation************************************
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3.Orthogonal matching pursit:recursive function approximation with application to wavelet decomposition
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Good example of neural function approximation
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采用bp神经网络对函数y=sin(x)进行训练,然后用测试集对训练的函数进行测试,也就是函数逼近sin(x)的曲线-Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve
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Simple Function Approximation
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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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