文件名称:matlab
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- 上传时间：2016-08-15
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文件大小：8.87mb
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使用的版本：64位的MATLAB R2015b，代码可以直接运行仿真。
（1）提取五个特征量中的Hu矩和仿射不变矩；
（2）picture用来存放训练样本和测试样本；
（3）save用来保存代码运行过程中提取的特征量，matlab1存放仿射不变矩特征量，
matlab2存放Hu矩特征量，Hu_BBA存放样本的Hu矩的基本信度赋值和识别类型，
FS_BBA存放样本的仿射不变矩的基本信度赋值和识别类型，目标识别矩阵、信息融
果和判决结果在指令窗输出（1,2,3表示类型，0表示拒判）。
（4）使用mewpnn函数建立PNN网络，除了散布常数外，其余参数为默认值；
（5）PCR6可用于处理两个及三个以上的信息源，当处理两个信息源时与PCR5规则一致。
-Use versions: 64-bit MATLAB R2015b, code can be directly run the simulation. (1) extracts five feature amounts of Hu Moment and affine invariant moment (2) picture is used to store the training samples and testing samples (3) save to save the code runs in the process of extracting feature quantity, matlab1 store affine invariant moment features, matlab2 storage Hu moment features, Hu_BBA stored samples Hu moments basic belief assignment and identify the type, FS_BBA samples stored affine moment invariants basic belief assignment and identify the type of target recognition matrix, fruit and financial information verdict in the command window output (1,2,3 indicates the type, 0 indicates False Rejection). (4) use mewpnn function creates PNN network, in addition to spread constant, the other parameters to their default values (5) PCR6 can be used to handle two and three or more sources of information when dealing with two sources of information is consistent with PCR5 rules.
（1）提取五个特征量中的Hu矩和仿射不变矩；
（2）picture用来存放训练样本和测试样本；
（3）save用来保存代码运行过程中提取的特征量，matlab1存放仿射不变矩特征量，
matlab2存放Hu矩特征量，Hu_BBA存放样本的Hu矩的基本信度赋值和识别类型，
FS_BBA存放样本的仿射不变矩的基本信度赋值和识别类型，目标识别矩阵、信息融
果和判决结果在指令窗输出（1,2,3表示类型，0表示拒判）。
（4）使用mewpnn函数建立PNN网络，除了散布常数外，其余参数为默认值；
（5）PCR6可用于处理两个及三个以上的信息源，当处理两个信息源时与PCR5规则一致。
-Use versions: 64-bit MATLAB R2015b, code can be directly run the simulation. (1) extracts five feature amounts of Hu Moment and affine invariant moment (2) picture is used to store the training samples and testing samples (3) save to save the code runs in the process of extracting feature quantity, matlab1 store affine invariant moment features, matlab2 storage Hu moment features, Hu_BBA stored samples Hu moments basic belief assignment and identify the type, FS_BBA samples stored affine moment invariants basic belief assignment and identify the type of target recognition matrix, fruit and financial information verdict in the command window output (1,2,3 indicates the type, 0 indicates False Rejection). (4) use mewpnn function creates PNN network, in addition to spread constant, the other parameters to their default values (5) PCR6 can be used to handle two and three or more sources of information when dealing with two sources of information is consistent with PCR5 rules.
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下载文件列表
matlab/main.m
matlab/PCR6.m
matlab/picture/1.jpg
matlab/picture/10.jpg
matlab/picture/11.jpg
matlab/picture/12.jpg
matlab/picture/13.jpg
matlab/picture/14.jpg
matlab/picture/15.jpg
matlab/picture/16.jpg
matlab/picture/17.jpg
matlab/picture/18.jpg
matlab/picture/19.jpg
matlab/picture/2.jpg
matlab/picture/20.jpg
matlab/picture/21.jpg
matlab/picture/22.jpg
matlab/picture/23.jpg
matlab/picture/24.jpg
matlab/picture/25.jpg
matlab/picture/26.jpg
matlab/picture/27.jpg
matlab/picture/28.jpg
matlab/picture/29.jpg
matlab/picture/3.jpg
matlab/picture/30.jpg
matlab/picture/31.jpg
matlab/picture/32.jpg
matlab/picture/33.jpg
matlab/picture/34.jpg
matlab/picture/35.jpg
matlab/picture/36.jpg
matlab/picture/37.jpg
matlab/picture/38.jpg
matlab/picture/39.jpg
matlab/picture/4.jpg
matlab/picture/40.jpg
matlab/picture/41.jpg
matlab/picture/42.jpg
matlab/picture/43.jpg
matlab/picture/44.jpg
matlab/picture/45.jpg
matlab/picture/46.jpg
matlab/picture/47.jpg
matlab/picture/48.jpg
matlab/picture/49.jpg
matlab/picture/5.jpg
matlab/picture/50.jpg
matlab/picture/51.jpg
matlab/picture/52.jpg
matlab/picture/53.jpg
matlab/picture/54.jpg
matlab/picture/55.jpg
matlab/picture/56.jpg
matlab/picture/57.jpg
matlab/picture/58.jpg
matlab/picture/59.jpg
matlab/picture/6.jpg
matlab/picture/60.jpg
matlab/picture/61.jpg
matlab/picture/62.jpg
matlab/picture/63.jpg
matlab/picture/64.jpg
matlab/picture/65.jpg
matlab/picture/66.jpg
matlab/picture/7.jpg
matlab/picture/8.jpg
matlab/picture/9.jpg
matlab/save/Fs_BBA.xls
matlab/save/Hu_BBA.xls
matlab/save/matlab1.mat
matlab/save/matlab1.xls
matlab/save/matlab2.mat
matlab/save/matlab2.xls
matlab/代码说明.txt
matlab/picture
matlab/save
matlab
matlab/PCR6.m
matlab/picture/1.jpg
matlab/picture/10.jpg
matlab/picture/11.jpg
matlab/picture/12.jpg
matlab/picture/13.jpg
matlab/picture/14.jpg
matlab/picture/15.jpg
matlab/picture/16.jpg
matlab/picture/17.jpg
matlab/picture/18.jpg
matlab/picture/19.jpg
matlab/picture/2.jpg
matlab/picture/20.jpg
matlab/picture/21.jpg
matlab/picture/22.jpg
matlab/picture/23.jpg
matlab/picture/24.jpg
matlab/picture/25.jpg
matlab/picture/26.jpg
matlab/picture/27.jpg
matlab/picture/28.jpg
matlab/picture/29.jpg
matlab/picture/3.jpg
matlab/picture/30.jpg
matlab/picture/31.jpg
matlab/picture/32.jpg
matlab/picture/33.jpg
matlab/picture/34.jpg
matlab/picture/35.jpg
matlab/picture/36.jpg
matlab/picture/37.jpg
matlab/picture/38.jpg
matlab/picture/39.jpg
matlab/picture/4.jpg
matlab/picture/40.jpg
matlab/picture/41.jpg
matlab/picture/42.jpg
matlab/picture/43.jpg
matlab/picture/44.jpg
matlab/picture/45.jpg
matlab/picture/46.jpg
matlab/picture/47.jpg
matlab/picture/48.jpg
matlab/picture/49.jpg
matlab/picture/5.jpg
matlab/picture/50.jpg
matlab/picture/51.jpg
matlab/picture/52.jpg
matlab/picture/53.jpg
matlab/picture/54.jpg
matlab/picture/55.jpg
matlab/picture/56.jpg
matlab/picture/57.jpg
matlab/picture/58.jpg
matlab/picture/59.jpg
matlab/picture/6.jpg
matlab/picture/60.jpg
matlab/picture/61.jpg
matlab/picture/62.jpg
matlab/picture/63.jpg
matlab/picture/64.jpg
matlab/picture/65.jpg
matlab/picture/66.jpg
matlab/picture/7.jpg
matlab/picture/8.jpg
matlab/picture/9.jpg
matlab/save/Fs_BBA.xls
matlab/save/Hu_BBA.xls
matlab/save/matlab1.mat
matlab/save/matlab1.xls
matlab/save/matlab2.mat
matlab/save/matlab2.xls
matlab/代码说明.txt
matlab/picture
matlab/save
matlab
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