LVQ


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AcronymDefinition
LVQLearning Vector Quantization
LVQLattice Vector Quantization
LVQLiteracy Volunteers of Quebec (Canada)
LVQLearned Vector Quantization
LVQLaughing Very Quietly
References in periodicals archive ?
Actual conditions SVM BP LVQ PNN 1 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 S 4 4 3 3 4 6 1 2 1 1 1 7 1 1 2 1 1 8 1 1 1 1 1 9 2 2 2 3 2 10 3 3 3 3 3 Table 6.
LVQ Classification Method sensors are used to detect eight types of breathing problems with modelling the small movements of the chest wall compartments that occur during expansion and contraction of the lungs in each respiration cycle.
La segunda etapa consta de dos redes especializadas LVQ que discriminan los sub-movimientos horizontales y verticales + clic.
Aplicacion de Redes Neuronales: Mapas Auto-organizados de Kohonen y Redes de Aprendizaje Competitivo LVQ Learning Vector Quantitative
The LVQ was tested with bit-mapping, Fan-beam transformation and Radon transformation.
ij] and [tau] of this dataset obtained from both k-means and Kohonen LVQ algorithms are plotted against cluster numbers.
For example, the relationship between the k-means algorithm and LVQ is addressed in Pal et al.
It contains approximately 10 million weights and uses a variant of Kohonen's LVQ algorithm.
A new and improved 4D Auto LVQ, an integrated and automated 4D volume and EF tool, and, an extension to this tool, 4D LV Mass, which provides a left ventricular mass, as well as a mass index
Logistics will play a key role in the tournament's success which gives special significance both to Bu Sulba and LVQ.
LVQ uses supervised algorithm that labels data for fine tuning the weight vectors of the trained and labeled SOM.
The results show that the back-propagation (BP) and LVQ outperform the traditional statistical approaches for all four variable sets with a consistent superiority across the two different evaluation criteria (total misclassification cost and resubstitution risk criteria), and that the twenty-two variables and the Texas EWIS variable sets are more efficient than the IRIS and the FAST variable sets for identification of financially troubled life insurers in most comparisons.