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Jonathan Amezcua
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2010 – 2019
- 2017
- [p3]Jonathan Amezcua, Patricia Melin:
Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 187-194 - 2015
- [c4]Jonathan Amezcua, Patricia Melin:
Optimization of the LVQ Network Architectures with a Modular Approach for Arrhythmia Classification. IWIFSGN@FQAS 2015: 267-274 - [c3]Jonathan Amezcua, Patricia Melin, Oscar Castillo:
A new classification method based on LVQ neural networks and Fuzzy Logic. NAFIPS/WConSC 2015: 1-5 - [p2]Jonathan Amezcua, Patricia Melin:
Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 119-126 - 2014
- [j1]Patricia Melin, Jonathan Amezcua, Fevrier Valdez, Oscar Castillo:
A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias. Inf. Sci. 279: 483-497 (2014) - [c2]Jonathan Amezcua, Patricia Melin, Oscar Castillo:
Design of an Optimal Modular LVQ Network for Classification of Arrhythmias Based on a Variable Training-Test Datasets Strategy. IEEE Conf. on Intelligent Systems (2) 2014: 369-375 - [c1]Jonathan Amezcua, Patricia Melin, Oscar Castillo:
A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach. WCSC 2014: 171-184 - [p1]Jonathan Amezcua, Patricia Melin:
Optimization of Modular Neural Networks with the LVQ Algorithm for Classification of Arrhythmias Using Particle Swarm Optimization. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014: 307-314
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