Comparison of feed forward neural network training algorithms for intelligent modeling of dielectric properties of oil palm fruitlets
Adequate data of the dielectric properties of oil palm fruitlets and the development of appropriate models are central to the quest of quality sensing and characterization in the oil palm industry. In this study, an Artificial Neural Network (ANN) was designed, optimized and deployed to model the di...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Blue Eyes Intelligence Engineering & Sciences Publication
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/36840/ http://psasir.upm.edu.my/id/eprint/36840/ http://psasir.upm.edu.my/id/eprint/36840/1/Comparison%20of%20feed%20forward%20neural%20network%20training%20algorithms%20for%20intelligent%20modeling%20of%20dielectric%20properties%20of%20oil%20palm%20fruitlets.pdf |
Internet
http://psasir.upm.edu.my/id/eprint/36840/http://psasir.upm.edu.my/id/eprint/36840/
http://psasir.upm.edu.my/id/eprint/36840/1/Comparison%20of%20feed%20forward%20neural%20network%20training%20algorithms%20for%20intelligent%20modeling%20of%20dielectric%20properties%20of%20oil%20palm%20fruitlets.pdf