文件名称:PatternRecognition
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This solution and source code algorithm LMS was developed to a project of software for training of classrooms having used.
The samples, as well as the indices and entrances of the algorithm follow a standard of vectors of classrooms and characteristics, of column x line, that is, the classrooms are defined and concatenated in columns. Each line will have to contain each one of the characteristics that if they desire to evaluate. The only parameter is the Archive of training. This will have to possess n Characteristic Columns describing n, being the last column indicating the classroom, and also each one of the samples for line must possess n Line indicating. The Problem possesss 3 classrooms, each one with 4 characteristics. The Training of the LMS was made in pairs with the 3 classrooms, therefore the LMS works generically with two classrooms to carry through the training and classification.
The samples, as well as the indices and entrances of the algorithm follow a standard of vectors of classrooms and characteristics, of column x line, that is, the classrooms are defined and concatenated in columns. Each line will have to contain each one of the characteristics that if they desire to evaluate. The only parameter is the Archive of training. This will have to possess n Characteristic Columns describing n, being the last column indicating the classroom, and also each one of the samples for line must possess n Line indicating. The Problem possesss 3 classrooms, each one with 4 characteristics. The Training of the LMS was made in pairs with the 3 classrooms, therefore the LMS works generically with two classrooms to carry through the training and classification.
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下载文件列表
1distrib.mat
1pesos2.mat
classificabpm.m
classificalms.m
classificasom.m
somkohonen.m
teste.txt
teste4.txt
TrabFinal-RDAi.pdf
treina.txt
treina4.txt
treinabpm.m
treinalms.m
treinasom.m
1pesos2.mat
classificabpm.m
classificalms.m
classificasom.m
somkohonen.m
teste.txt
teste4.txt
TrabFinal-RDAi.pdf
treina.txt
treina4.txt
treinabpm.m
treinalms.m
treinasom.m