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RECOGNITION OF PATTERNS AND EVALUATION OF THE DAMAGE GENERATED IN LOW-ALLOY STEELS FROM THE DIGITAL PROCESSING OF IMAGES AND ARTIFICIAL INTELLIGENCE

JULY 2019 - Volume: 94 - Pages: 357

DOI:

https://doi.org/10.6036/9219

Authors:

EDGAR AUGUSTO RUELAS SANTOYO -

JOSE ANTONIO VAZQUEZ LOPEZ

- ROBERTO BAEZA SERRATO -

JOSE ALFREDO JIMENEZ GARCIA

- MOISES TAPIA ESQUIVIAS - VICENTE FIGUEROA FERNANDEZ

Disciplines:

Metallurgical technology (SERVICIOS METALURGICOS )

Downloads: 20

Cites in Web of Science: 1

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Key words:: Sistema experto, lógica difusa, red neuronal artificial, análisis metalográfico, Expert system, fuzzy logic, artificial neural network, metallographic analysis
Article type:: NOTA TECNICA / TECHNICAL NOTE
Section:: TECHNICAL NOTE

This paper describes the development of an intelligent integrated system able to estimate the damage on 2.25Cr-1Mo low alloy steel rated according to ASTM A200 grade T22.

Keywords: Expert system, metallographic analysis.

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