Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition

2021/06/08 by P. H. O. Silva, Silva, P. H. O., A. S. Cerqueira +3
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG

paper · pdf · doi:10.48550/arxiv.2106.04021

In English. SBAI 2021 - Brazilian Symposium on Intelligent Automation (SBAI - Simposio Brasileiro de Automacao Inteligente). 6 pages. 4 figures

arxiv created 2021/06/08 · arxiv updated 2021/06/09

Abstract

This work presents a novel technique that integrates the methodologies of machine learning and system identification to solve multiclass problems. Such an approach allows to extract and select sets of representative features with reduced dimensionality, as well as predicts categorical outputs. The efficiency of the method was tested by running case studies investigated in machine learning, obtaining better absolute results when compared with classical classification algorithms.

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