Analysis and Recognition of Standards in Intelligent Hybrid ‎Systems using Natural Computing

Document Type : Research Paper


1 UNESP - Univ. Estadual Paulista, Faculty of Engineering of Ilha Solteira, Department of Mechanical Engineering, Ilha Solteira, 15385-000, Brasil

2 Faculty of Technology of Araçatuba, Department of Biofuels, Av. Prestes Maia, 1764 - Ipanema, Araçatuba, 16052-045, Brasil

3 UNESP - Instituto de Química, Departamento de Engenharia, Física e Matemática, Rua Prof. Francisco Degni, 55 – Quitandinha, Araraquara, 14800-060, Brasil

4 UNESP - Univ. Estadual Paulista, Faculty of Engineering of Ilha Solteira, Department of Mechanical Engineering, Ilha Solteira, 15385-000, Brasil‎


This work shows the application of one of the techniques of bioengineering, the perceptron network in the detection of system failures, and also allows the use of the perceptron network technique in choosing the location of the best sensor to be used in the dynamic system. The application of the perceptron network was adopted because it is considered the best binary linear classifier. This work is considered multidisciplinary and difficult to develop. The final result demonstrates a severe application of pre-processing and processing, until the classification and grouping of signals in the two phases of the work. Through the results found, this work can be considered successful and can be applied in several areas of engineering for structural analysis.


Main Subjects

Publisher’s Note Shahid Chamran University of Ahvaz remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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