文件名称:recoginition_number_classic
介绍说明--下载内容均来自于网络,请自行研究使用
对有噪声的数字 利用神经网络进行识别, 训练效果显著-right is the number of noise using neural network identification, training results significantly
(系统自动生成,下载前可以参看下载内容)
下载文件列表
基于BP网络的含噪声数字的识别
............................\可执行文件
............................\..........\BPnet.exe
............................\..........\无需VC环境支持.rar
............................\基于BP网络的含噪声数字识别.pdf
............................\程序运行抓图
............................\............\训练时间2加入动量因子.gif
............................\............\训练时间3.gif
............................\............\训练时间3加入动量因子.gif
............................\............\训练时间4.gif
............................\............\训练时间4加入动量因子.gif
............................\............\训练时间5.gif
............................\............\训练时间5加入动量因子.gif
............................\............\训练时间6.gif
............................\............\训练时间6加入动量因子.gif
............................\............\训练时间7.gif
............................\............\训练时间7加入动量因子.gif
............................\............\训练过程的误差曲线1.gif
............................\............\训练过程的误差曲线2.gif
............................\............\训练过程的误差曲线3.gif
............................\............\识别结果1.gif
............................\............\识别结果2.gif
............................\可执行文件
............................\..........\BPnet.exe
............................\..........\无需VC环境支持.rar
............................\基于BP网络的含噪声数字识别.pdf
............................\程序运行抓图
............................\............\训练时间2加入动量因子.gif
............................\............\训练时间3.gif
............................\............\训练时间3加入动量因子.gif
............................\............\训练时间4.gif
............................\............\训练时间4加入动量因子.gif
............................\............\训练时间5.gif
............................\............\训练时间5加入动量因子.gif
............................\............\训练时间6.gif
............................\............\训练时间6加入动量因子.gif
............................\............\训练时间7.gif
............................\............\训练时间7加入动量因子.gif
............................\............\训练过程的误差曲线1.gif
............................\............\训练过程的误差曲线2.gif
............................\............\训练过程的误差曲线3.gif
............................\............\识别结果1.gif
............................\............\识别结果2.gif