A New Artificial Immune System Based on Continuous Learning for Pattern Recognition

Simone F. Souza; Fernando Parra dos Anjos Lima; Fábio Roberto Chavarette

doi:10.22456/2175-2745.102061

Authors

Simone F. Souza State University of Mato Grosso (UNEMAT), Campus of Tangará da Serra, Rodovia MT-358, Km 07, Jardim Aeroporto, 78300000 - Tangará da Serra, MT - Brasil
Fernando Parra dos Anjos Lima Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso (IFMT), Campus Avançado Tangará da Serra.
Fábio Roberto Chavarette Universidade Estadual Paulista "Julio de Mesquita Filho"(UNESP)

DOI:

https://doi.org/10.22456/2175-2745.102061

Keywords:

Pattern Recognition, Continuous Learning, Artificial Immune Systems, Negative Selection Algorithm, Clonal Selection Algorithm

Abstract

This paper presents a novel approach for pattern recognition based on continuous training inspired by the biological immune system operation. The main objective of this paper is to present a method capable of continually learn, i.e., being able to address new types of patterns without the need to restart the training process (artificial immune system with incremental learning). It is a useful method for solving problems involving a permanent knowledge extraction, e.g., 3D facial expression recognition, whose quality of the solutions is strongly dependent on a continuous training process. In this context, two artificial immune algorithms are employed: (1) the negative selection algorithm, which is responsible for the pattern recognition process and (2) the clonal selection algorithm, which is responsible for the learning process. The main application of this method is in assisting in decision-making on problems related to pattern recognition process. To evaluate and validate the efficiency of this method, the system has been tested on handwritten character recognition, which is a classic problem in the literature. The results show efficiency, accuracy and robustness of the proposed methodology.

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Author Biographies

Fernando Parra dos Anjos Lima, Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso (IFMT), Campus Avançado Tangará da Serra.

Possui graduação em Engenharia da Computação pelo UniSALESIANO (2010). Mestrado em Engenharia Elétrica (2013), Mestrado em Engenharia Mecânica (2014) e Doutorado em Engenharia Elétrica (2016), todos, pela UNESP, campus de Ilha Solteira. Durante o seu Doutorado realizou um estágio sanduíche pelo período de 12 meses, compreendido entre agosto/2014 à agosto/2015, no Centro de Sistemas de Energia (CPES), no INESC-TEC Porto/Portugal. No ano de 2017, concluiu o Pós-doutorado no programa de pós-graduação em Engenharia Mecânica da UNESP, campus Ilha Solteira, na área de diagnóstico de falhas estruturais utilizando metodologias híbridas inteligentes. Atualmente é Professor de Informática do Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso (IFMT), Campus Avançado Tangará da Serra.

Fábio Roberto Chavarette, Universidade Estadual Paulista "Julio de Mesquita Filho"(UNESP)

Possui graduação em Bacharel em Ciências da Computação pela Escola de Engenharia de Piracicaba (1996), especialização em computação pela UFSCar e Uniclar (1998), mestrado em Física Aplicada (Rio Claro) pela Universidade Estadual Paulista Júlio de Mesquita Filho (2002), doutorado em Engenharia Mecânica pela Universidade Estadual de Campinas (2005) , Pós-Doutoramento (2010) no estudo do Comportarmento de Sistemas Micro-Eletro-Mecânico (MEMS), no Departamento de Estatística, Matemática Aplicada e Computação, pela Universidade Estadual Paulista Júlio de Mesquita Filho de Rio Claro e Livre Docência (2018) em Computação Científica pelo Departamento de Matemática da Faculdade de Engenharia de Ilha Solteira (FEIS), da Universidade Estadual Paulista "Julio de Mesquita Filho"(UNESP). Atualmente é Professor Associado do Departamento de Matemática da Faculdade de Engenharia de Ilha Solteira (FEIS), da Universidade Estadual Paulista "Julio de Mesquita Filho"(UNESP). Professor credenciado no Programa de Pós-Graduação da Universidade Estadual Paulista, Campus de Ilha Solteira em Engenharia Mecânica ( área de Projeto Mecânico-Dinâmica).

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