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

• URL: http://arxiv.org/abs/2106.04021v1
• Date: Tue, 8 Jun 2021 00:17:36 GMT
• Title: Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition
• Authors: P. H. O. Silva, A. S. Cerqueira, E. G. Nepomuceno
• Abstract summary: This work presents a novel technique that integrates the methodologies of machine learning and system identification to solve multiclass problems. 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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