Artificial neural network model for microwave propagation in water melon
The propagation and attenuation of microwave traversing through water melon at 2.45GHz were modeled and validated. An attenuation experiment was carried out on water melon using free space transmission technique and an Artificial Neural Network (ANN) was designed, trained and deployed for the observ...
Saved in:
Main Authors: | Olukayode, Ojo Adedayo, Mohd Isa, Maryam, Budayawan, Khairi |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2012
|
Online Access: | http://psasir.upm.edu.my/id/eprint/69339/1/Artificial%20neural%20network%20model%20for%20microwave%20propagation%20in%20water%20melon.pdf http://psasir.upm.edu.my/id/eprint/69339/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Characterization of oil palm fruitlets using artificial neural network
by: Olukayode, Ojo Adedayo
Published: (2014) -
A layer-sensitivity based artificial neural network for characterization of oil palm fruitlets
by: Adedayo, Ojo O., et al.
Published: (2021) -
Lora channel propagation modelling using artificial neural network
by: Mod Rofi, Ahmad Shahmi, et al.
Published: (2021) -
Comparison of feed forward neural network training algorithms for intelligent modeling of dielectric properties of oil palm fruitlets
by: Adedayo, Ojo O., et al.
Published: (2014) -
Modeling orbital propagation using regression technique and artificial neural network
by: Salleh, Nor'asnilawati, et al.
Published: (2022)