搜索资源列表
RBF_regression_classification
- 径向基神经网络的应用，回归分析和分类分析程序。有一定的参考意义。-Application of RBF neural network, regression analysis and classification of procedures. Have some reference value.
radial-basis-function-networks
- 一篇很好英文资料，学习径向基神经网络，总共有20页。很有价值。-A very good information in English, learning RBF neural network, a total of 20 pages. Valuable.
jingxiangji_matlab
- 基于matlab的径向基网络模拟，源代码均是matlab的.m文件。实现了一些径向基网络的实例-Radial basis function network based simulation matlab, matlab source code are the. M file. To achieve a number of examples of radial basis network
classfication
- 运用支持向量机，选用径向基函数对人工样本进行分类-Classification of artificial samples
score
- 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
Human-face-recognition
- 系统全面的基于人脸的身份识别，包括预处理，特征提取，径向基网络识别等。-Human face recognition for ID verification,including preprocess, feature extraction and RBF network recognition
rbf
- 七个径向基人工神经网络的源程序，包括模式分类，以及预测-Seven radial basis artificial neural network source, including pattern classification, and prediction
rbf
- 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
RBFlimianyouguiyihuachuli
- 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
chengxu1
- 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.
The-report-of-neural-networks
- 随着神经网络研究的深入，神经网络在理论上有了很大突破，并在实践中发挥着越来越重要的作用。本文介绍了径向基网络，支撑矢量机，小波神经网络，反馈神经网络这几种典型的神经网络结构模型、特点及应用。- With in-depth study of neural networks, neural networks have great breakthrough in theory and in practice is playing an increasingly important role. This
HHelmSquarU
- 基于径向基函数在神经网络中的运用，包括了无网格法及其其他-radial basic function
Adaptive-Hysteresis
- 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
NavelOrange-Grading-System
- 运用计算机视觉和模式识别技术,研究了基于计算机视觉的脐橙分级系统,首先对获 取的图像分割出背景、脐橙本体和表面缺陷,再根据脐橙的分级标准,提取出果实横径、表面缺陷的特征参数,采用径向基神经网络对脐橙样本进行了等级识别,实现脐橙的自动检测与分级。-According to the characteristics and requests of navel orange, this study uses computer vision and pattern recognition tech
RBF
- 径向基神经网络对输入信号进行分类识别，准确度高。-RBF neural network to classify the input signal recognition accuracy.
Artificial-Neural-Networks2006
- 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
4
- 基于径向基函数网络的宣城市空气质量预测.-failed to translate
NeuralNetwork_RBF
- 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)
net-work-02
- 这是我们学校著名教授的径向基网络的课件，讲的很好，拿来和大家分享。-this is a PPT of my school ,and which is teached by a perfesser.
matlab_Neural-network-general-code
- 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