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12 artmap Arguments x a matrix with training inputs and targets for the network ... additional function parameters (currently not used) nInputsTrain the number of columns of the matrix that are training input nInputsTargets the number of columns that are target values nUnitsRecLayerTrain number of units in the recognition layer of the training data ART network nUnitsRecLayerTargets number of units in the recognition layer of the target data ART network maxit maximum of iterations to perform nRowInputsTrain number of rows the training input units are to be organized in (only for visualization purposes of the net in the original SNNS software) nRowInputsTargets same, but for the target value input units nRowUnitsRecLayerTrain same, but for the recognition layer of the training data ART network nRowUnitsRecLayerTargets same, but for the recognition layer of the target data ART network initFunc the initialization function to use initFuncParams the parameters for the initialization function learnFunc the learning function to use learnFuncParams the parameters for the learning function updateFunc the update function to use updateFuncParams the parameters for the update function shufflePatterns should the patterns be shuffled? Details See also the details section of art1. The two ART1 networks are connected by a map field. The input of the first ART1 network is the training input, the input of the second network are the target values, the teacher signals. The two networks are often called ARTa and ARTb, we call them here training data network and target data network. In analogy to the ART1 and ART2 implementations, there are one initialization function, one learning function, and two update functions present that are suitable for ARTMAP. The parameters are basically as in ART1, but for two networks. The learning function and the update functions have 3 parameters, the vigilance parameters of the two ART1 networks and an additional vigilance parameter for inter ART reset control. The initialization function has four parameters, two for every ART1 network. A detailed description of the theory and the parameters is available from the SNNS documentation and the other referenced literature.
