文件名称:ANN
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-08-31
- 文件大小：
- 584kb
- 下载次数：
- 0次
- 提 供 者：
- YuW***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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
此外，包括有关的标量非线性函数逼近的一个Simulink的例子。
最后，该文件包括Training.zip步步instrucions上如何培养GRBF网络和支撑例子。-Adaptive Neural Network Library (version 5.3.1 or higher Matlab' s) is to achieve a plurality of adaptive neural network has a different set of adaptive algorithms block. It is mainly distributed in June 2001- July 詹皮耶罗坎 Pa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improved in part by the NASA-funded NCC5-685 support. There are indications that the implementation of these types of neural networks basically block: adaptive linear network (ADALINE) multi-layer network-aware generalized radial basis function network power unit structure (DCS) network Gaussian or conical base function addition, including related Examples of scalar nonlinear function approximation of a Simulink. Finally, the document includes a step by step instrucions on how to cultivate GRBF Training.zip network and support examples.
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
此外，包括有关的标量非线性函数逼近的一个Simulink的例子。
最后，该文件包括Training.zip步步instrucions上如何培养GRBF网络和支撑例子。-Adaptive Neural Network Library (version 5.3.1 or higher Matlab' s) is to achieve a plurality of adaptive neural network has a different set of adaptive algorithms block. It is mainly distributed in June 2001- July 詹皮耶罗坎 Pa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improved in part by the NASA-funded NCC5-685 support. There are indications that the implementation of these types of neural networks basically block: adaptive linear network (ADALINE) multi-layer network-aware generalized radial basis function network power unit structure (DCS) network Gaussian or conical base function addition, including related Examples of scalar nonlinear function approximation of a Simulink. Finally, the document includes a step by step instrucions on how to cultivate GRBF Training.zip network and support examples.
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下载文件列表
ANN
...\ALPR.zip
...\ALPR（车牌识别）
...\................\ALPR.m
...\................\char3.m
...\................\edu_createnn.m
...\................\edu_imgcrop.m
...\................\edu_imgpreprocess6.m
...\................\edu_imgresize.m
...\................\license.txt
...\................\plate1.jpg
...\................\readme.htm
...\................\readme_files
...\................\............\colorschememapping.xml
...\................\............\filelist.xml
...\................\............\preview.wmf
...\................\............\themedata.thmx
...\................\s.bmp
...\................\sample.bmp
...\................\sample3.bmp
...\................\sample4.bmp
...\................\sample5.bmp
...\................\sample6.bmp
...\................\trained2.mat
...\Neural_Network_Simple_programs
...\..............................\license.txt
...\..............................\neural1.m
...\..............................\neural10.m
...\..............................\neural11.m
...\..............................\neural2.m
...\..............................\neural3.m
...\..............................\neural4.m
...\..............................\neural5.m
...\..............................\neural6.m
...\..............................\neural7.m
...\..............................\neural8.m
...\..............................\neural9.m
...\Neural_Network_Simple_programs.zip
...\ann
...\...\Readme.txt
...\...\ann.mdl
...\...\anndemo.mdl
...\...\contents.m
...\...\dcsgl2.dll
...\...\dcsgl2.mexw32
...\...\demos.m
...\...\emran8.dll
...\...\emran8.mexw32
...\...\info.xml
...\...\license.txt
...\...\src.z.p
...\...\training
...\...\........\chl_W.mat
...\...\........\chlmin.m
...\...\........\chlnet.mdl
...\...\........\chlplots.m
...\...\........\choles_all.mat
...\...\........\training.txt
...\...\training.zip
...\...\vrmult.dll
...\...\vrmult.mexw32
...\ann.zip
...\programs
...\........\license.txt
...\........\programs
...\........\........\A.bmp
...\........\........\A1.bmp
...\........\........\A2.bmp
...\........\........\B.bmp
...\........\........\B1.bmp
...\........\........\B2.bmp
...\........\........\C.bmp
...\........\........\C1.bmp
...\........\........\C2.bmp
...\........\........\CR.m
...\........\........\D.bmp
...\........\........\D1.bmp
...\........\........\D2.bmp
...\........\........\delta.m
...\........\........\ff1.m
...\........\........\ff2.m
...\........\........\ff3.m
...\........\........\ff4.m
...\........\........\ffperceptron.m
...\........\........\instar.m
...\........\........\layer1.txt
...\........\........\layer1b.txt
...\........\........\layer2.txt
...\........\........\layer2b.txt
...\........\........\perceptLMS.m
...\........\........\perceptron.m
...\programs.zip