Design of an Optimal Modular LVQ Network for Classification of Arrhythmias Based on a Variable Training-Test Datasets Strategy. - Jonathan Amezcua; Patricia Melin; Oscar Castillo 001 (IEEE Conf. on Intelligent Systems (2), 2014)

A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach. - Jonathan Amezcua; Patricia Melin; Oscar Castillo 001 (WCSC, 2014)

A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias. - Patricia Melin; Jonathan Amezcua; Fevrier Valdez; Oscar Castillo 001 (Inf. Sci., 2014)

Optimization of Modular Neural Networks with the LVQ Algorithm for Classification of Arrhythmias Using Particle Swarm Optimization. - Jonathan Amezcua; Patricia Melin (Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014)

Optimization of the LVQ Network Architectures with a Modular Approach for Arrhythmia Classification. - Jonathan Amezcua; Patricia Melin (IWIFSGN@FQAS, 2015)

A new classification method based on LVQ neural networks and Fuzzy Logic. - Jonathan Amezcua; Patricia Melin; Oscar Castillo 001 (NAFIPS/WConSC, 2015)

Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO. - Jonathan Amezcua; Patricia Melin (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic. - Jonathan Amezcua; Patricia Melin (Nature-Inspired Design of Hybrid Intelligent Systems, 2017)