文件名称:moshishibieyuanma
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介绍说明－－下载内容均来自于网络，请自行研究使用
这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ -This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which also gave the test data!
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下载文件列表
神经网络用于模式识别及MATLAB源代码
..................................\c1_13.m
..................................\cc_14.m
..................................\ceshishuju
..................................\..........\171 Data Sets.doc
..................................\..........\car.txt
..................................\..........\glass.txt
..................................\..........\Iris.txt
..................................\..........\letter
..................................\..........\......\letter-recognition.data[1]
..................................\..........\letter.txt
..................................\..........\shuttle-landing-control.txt
..................................\..........\trains.tar.tar
..................................\..........\trains.txt
..................................\..........\university.txt
..................................\..........\vehicle.doc
..................................\..........\wine.txt
..................................\train_pi_1_xunhuan.asv
..................................\train_pi_1_xunhuan.m
..................................\train_pi_1_xunhuan_dl.asv
..................................\train_pi_1_xunhuan_dl.m
..................................\train_pi_2.asv
..................................\train_pi_2.m
..................................\train_pi_3.asv
..................................\train_pi_3.m
..................................\train_zaixian_1.m
..................................\train_zaixian_2.m
..................................\c1_13.m
..................................\cc_14.m
..................................\ceshishuju
..................................\..........\171 Data Sets.doc
..................................\..........\car.txt
..................................\..........\glass.txt
..................................\..........\Iris.txt
..................................\..........\letter
..................................\..........\......\letter-recognition.data[1]
..................................\..........\letter.txt
..................................\..........\shuttle-landing-control.txt
..................................\..........\trains.tar.tar
..................................\..........\trains.txt
..................................\..........\university.txt
..................................\..........\vehicle.doc
..................................\..........\wine.txt
..................................\train_pi_1_xunhuan.asv
..................................\train_pi_1_xunhuan.m
..................................\train_pi_1_xunhuan_dl.asv
..................................\train_pi_1_xunhuan_dl.m
..................................\train_pi_2.asv
..................................\train_pi_2.m
..................................\train_pi_3.asv
..................................\train_pi_3.m
..................................\train_zaixian_1.m
..................................\train_zaixian_2.m