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Tulti-zKzativx Nxuro-Fuzzy Infxrxntx SystxT for Kixlxttrit aroaxrtixs of Oil azlT Fruitlxts
Ojo O. Adxdayo a, P. P. IPa a, A. ZAx PoA a and Z. AbbaP b
aDxpartPxnt of xlxZtriZal and xlxZtroniZ xnginxxring, FaZulty of xnginxxring, UnivxrPity Putra PalayPia
bDxpartPxnt of PAyPiZP, FaZulty of PZixnZx, UnivxrPity Putra PalayPia
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Abstract:
Accurate dielectric models are required for proper sensing and characterization of materials especially for the purpose of quality control. In this work, a multi-Adaptive Neuro-Fuzzy Inference System (ANFIS) was designed to model the complex permittivity of the mesocarps of oil palm fruitlets within the frequency range of 2-4GHz. The system consists of two ANFIS models with same sets of inputs; one ANFIS model for the dielectric constant and the other for the loss factor. Training data were obtained from laboratory microwave measurements with the aid of Vector Network Analyzer (VNA) and used for the ANFIS model. The evaluation of the performance of the model confirms the suitability of the multi-ANFIS model for rapid and accurate determination of the dielectric properties of the fruitlets.
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Keywords: ANFIS; dielectric properties; oil palm fruitlets; sensing.
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*Corresponding author; e-mail: adedayojoy@gmail.com
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©
2014
CSME , ISSN 0257-9731
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