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Multi-adaptive Neuro-Fuzzy Inference System for dielectric properties of oil palm fruitlets


Citation

Adedayo, Ojo O. and Mohd Isa, Maryam and Che Soh, Azura and Abbas, Zulkifly (2014) Multi-adaptive Neuro-Fuzzy Inference System for dielectric properties of oil palm fruitlets. International Journal of Applied Science and Engineering, 12 (1). pp. 1-8. ISSN 1727-2394; ESSN: 1727-7841

Abstract / Synopsis

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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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Faculty of Science
Publisher: Chaoyang University of Technology
Keywords: ANFIS; Dielectric properties; Oil palm fruitlets; Sensing
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 16 Dec 2015 04:14
Last Modified: 16 Dec 2015 04:14
URI: http://psasir.upm.edu.my/id/eprint/34606
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