A neuro-symbolic hybrid system methodology for quality inspection on artificial textures

Authors:
Vianey G. Cruz Sánchez;Osslan O. Vergara Villegas;Gerardo Reyes Salgado;Humberto J. Ochoa Domínguez;José Ruiz Ascencio
Affiliations:
Computer Science Department, Centro Nacional de Investigación y Desarrollo Tecnológico, Cuernavaca, Morelos, Mexico;Industrial and Manufacturing Department, Electrical and Computer Department, Universidad Autóa de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico;Computer Science Department, Centro Nacional de Investigación y Desarrollo Tecnológico, Cuernavaca, Morelos, Mexico;Industrial and Manufacturing Department, Electrical and Computer Department, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico;Computer Science Department, Centro Nacional de Investigación Desarrollo Tecnológico, Cuernavaca, Morelos, Mexico
Venue:
ECC'08 Proceedings of the 2nd conference on European computing conference
Year:
2008

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Abstract

The Neuro-Symbolic Hybrid Systems (NSHS) are used to solve problems where there exists a necessity of combining and integrating the artificial neural networks and the symbolic representations in only one system in order to obtain better results. We developed a NSHS Methodology to integrate the knowledge of a human expert and the numeric knowledge obtained from a computer vision process. We implement the methodology to solve a quality inspection problem in artificial textures. The construction of neurosymbolic integration strategies allows us defining an adequate type of neuro-symbolic system to obtain an increment of the efficiency of an inspection task, which is shown with the better results obtained compared with other approaches.