I've a dataset of six samples and 1530 feature and wish to know the the importance of features. I'm trying to use the "Rank Features By Importance" as mentioned in ...

Abstract: In this paper, a learning vector quantization (LVQ) artificial neural network (ANN) combined with a genetic algorithm (GA) is used as a new approach for the classification of power quality ...

Abstract: This paper presents an intelligent diagnosis technique for wind turbine imbalance fault identification based on generator current signals. For this aim, Learning Vector Quantization (LVQ) ...

In our paper we evaluated the robustness of LVQ (Learning Vector Quantization) models against adversarial attacks on MNIST. This repository contains all the models (except the Madry model) that we ...

OBJECTIVE: To evaluate the accuracy and reproducibility of a new 3D real time echocardiographic semi automatic images processing (4D Auto LVQ, GE) for assessing left ventricular volumes and function.