LVQ.rar_competitive learning_kohonen _lvq_supervised learning_矢量

This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen. Usage for LVQ is: LVQ TRAININGFILE [TESTFILE] <enter> Specification of a test file is optional. The format of both the training and the test file is: NumPatterns - Number of patterns (int) SizeVector - Size of vector (int) NumClasses - Number of classes (int) vect[1,1] ... vect[1,SizeVect] - pattern vector 1 (real) vect[2,1] ... vect[2,SizeVect] - pattern vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - pattern vector N (real) Class - Desired/Expected class membership To compile: ICC LVQ.CPP <enter>