Autor: |
F.A. Huamán-Mamani, Jimmy Ludeña-Choez, Rudy M. Sanchez-Suarez, Juan J. Choquehuanca-Zevallos, D.L. Mayta-Ponce |
Rok vydání: |
2018 |
Předmět: |
|
Zdroj: |
2018 IEEE MTT-S Latin America Microwave Conference (LAMC 2018). |
Popis: |
In this paper, a classification system of the degree of porosity of ceramic materials based on a Radio Frequency system is presented. The system uses methods from the machine learning field to learn patterns from spectral features measured with a circular patch antenna. Experimental results show that it is possible to indirectly get an estimate of the degree of porosity of ceramic samples getting low classification error rates. |
Databáze: |
OpenAIRE |
Externí odkaz: |
|