이 솔루션 및 소스 코드 알고리즘 LMS는 엑스 라인 열, used.The 샘플을하는 교실 교육뿐만 아니라, 지수와 알고리즘의 입구 교실과 특징 벡터의 표준에 따라 소프트웨어의 프로젝트로 개발된 것을 이고, 교실이 정의되며 열에 연결된. 각 라인들이 평가하는 원하는 경우 그 특성의 각 하나를 포함해야합니다. 유일한 매개 변수는 훈련을 보관합니다. 이것은 게재 순위합니다(translate from):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.




File list:
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