Training+Courseware 源代码

%CLEVALF Classifier evaluation (feature size curve) % % [e,s] = clevalf(classf,A,featsizes,learnsize,n,T,print) % % Generates a…

%TRAINCC Train combining classifier if needed % % W = traincc(A,W,cclassf) % % The combining classifier cclassf is trained by data…

function [w1,b1,w2,b2,k,tr] = solverb(p,t,tp) %SOLVERB Design radial basis network. % % [W1,B1,W2,B2,TE,TR] = SOLVERB(P,T,DP) % …

function sTrain = som_train_struct(varargin) %SOM_TRAIN_STRUCT Default values for SOM training parameters. % % sT = som_train_str…

function sMap = som_make(D, varargin) %SOM_MAKE Create, initialize and train Self-Organizing Map. % % sMap = som_make(D, [[argID,…

function [sMap,sTrain] = som_batchtrain(sMap, D, varargin) %SOM_BATCHTRAIN Use batch algorithm to train the Self-Organizing Map.…

function [sMap, sTrain] = som_seqtrain(sMap, D, varargin) %SOM_SEQTRAIN Use sequential algorithm to train the Self-Organizing Ma…

function [sMap, sTrain] = som_sompaktrain(sMap, D, varargin) %SOM_SOMPAKTRAIN Use SOM_PAK to train the Self-Organizing Map. % % …

%SOM_DEMO1 Basic properties and behaviour of the Self-Organizing Map. % Contributed to SOM Toolbox 2.0, February 11th, 2000 by Ju…

function [model,b,X,Y] = trainlssvm(model,X,Y) % Train the support values and the bias term of an LS-SVM for classification or f…