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对获得的512维小波特征进行了PCA降维处理,将特征空间降至100维,并采用前面得出的最佳系数针对多项式核函数和高斯径向基核函数-On access to the 512-dimensional wavelet features to reduce the dimension of the PCA, will feature space to 100 dimensions, and using the best coefficients obtained for the previous pol
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介绍径向基函数及其人工神经网络,并且实例应用-Introduced radial basis function and artificial neural networks and application
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图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息,其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。-Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost info
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有关神经网络的设计,径向基函数的神经网络的举例-For the design of neural networks, radial basis function neural network example
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支持向量机的程序,本程序选用径向基函数作为核函数,测试样本随机取,可根据具体情况运用。-Support vector machine procedures, the procedures used radial basis function as kernel function, the test samples were taken, according to the specific circumstances of use.
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基于径向基函数神经网络迟滞非线性自适应控制
提出了一种新的动态迟滞非线性模型. 将一定数量不同死区宽度的 backlash 模型并行相
加, 作为一个动态系统以仿真执行器中的迟滞特性. 利用该模型, 采用伪控制方法设计了一套具有
未知迟滞特性非线性系统的神经网络自适应控制方案, 通过自适应算法来调整干扰项的上限. 采用
Lyapunov 稳定性理论进行了严格证明, 仿真试验验证了所提方案的有效性.- A nov el class of hysteresis mo dels w
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神经网络原理 Simon Haykin
基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation, Radial-Basis Function,Self-Organizing Maps,以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin covering the basic part of the neural
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神经网络原理 Simon Haykin 英文版
基本涵盖了神经网络的许多基础部分和重要方面。像Back Propagation, Radial-Basis Function,Self-Organizing Maps,以及single neuron中的Hebbian Learning, Competitive Learning和LMS Learning。 -Neural network theory Simon Haykin in English covering the neural net
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利用径向基函数,把给定的二维散乱数据插值成一个二维曲面-The radial basis function, the given two-dimensional scattered data interpolation into a two-dimensional surface
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神经网络概述及基本模型,然后详述了各种模型,包括感知器神经模型、自组织竞争神经网络、径向基函数神经网络、反馈神经网络、支持向量机神经网络、遗传算法等内容。-Overview and basic neural network model, and then details the various models, including perceptron neural model, self-organizing competitive neural network, radial basis fu
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A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and contr
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RBF神经网络拟合 模式识别(径向基神经网络用于模式识别和函数拟合,陆振波)-RBF neural network pattern recognition fit (radial basis function neural networks for pattern recognition and function fitting, Lu Zhenbo)
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神经网络通用编程代码,包括BP、通用径向基函数网络等-Neural network generic programming code, including BP general radial basis function (RBF) network etc
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RBF神经网络(基于人脸识别的应用)。所谓径向基函数 (Radial Basis Function 简称 RBF), 就是某种沿径向对称的标量函数。-RBF network
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BP算法及径向基函数网络,课程作业,请包涵-BP algorithm and radial basis function network,Course work
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采用matlab语言编写的径向基函数神经网络模式分类的程序。-Based on matlab language preparation radial basis function neural network pattern classification program
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一个采用matlab语言编写的RBF径向基函数神经网络模式分类的小程序。-A written by matlab language of the radial basis function (RBF neural network pattern classification of small programs
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遗传算法优化径向基神经网络,供各位初学者是有时候学习参考-The genetic algorithm optimized radial basis function neural network for the beginner is sometimes a reference...
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使用遗传算法对径向基神经网络进行阈值的优化-Threshold optimization using a genetic algorithm for radial basis function neural network
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RBFN Radial basis function networks
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