Rice yield prediction - a comparison between enhanced back propagation learning algorithms
Back Propagation algorithm(BP} has been popularly used to solve various problems, however it is shrouded with the problems of low convergence and instability. In recent years, improvements have been attempted to overcome the discrepancies aforementioned. In this study, we examine the performance of...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2004
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/3410/1/aryati_-_Rice_Yield_Prediction_-_A_Comparison_between_Enhanced_Back_Propagation_Learning.pdf |
| _version_ | 1796853563449671680 |
|---|---|
| author | Saad, Puteh Jamaludin, Nor Khairah Rusli, Nursalasawati Bakri, Aryati Kamarudin, Siti Sakira |
| author_facet | Saad, Puteh Jamaludin, Nor Khairah Rusli, Nursalasawati Bakri, Aryati Kamarudin, Siti Sakira |
| author_sort | Saad, Puteh |
| collection | ePrints |
| description | Back Propagation algorithm(BP} has been popularly used to solve various problems, however it is shrouded with the problems of low convergence and instability. In recent years, improvements have been attempted to overcome the discrepancies aforementioned. In this study, we examine the performance of four enhanced BP algorithms to predict rice yield in MADA plantation area in Kedah, Malaysia. Amidst the four algorithms explored, Conjugate Gradient Descent exhibits the best performance. |
| first_indexed | 2024-03-05T18:01:24Z |
| format | Article |
| id | utm.eprints-3410 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:01:24Z |
| publishDate | 2004 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-34102017-11-01T04:17:37Z http://eprints.utm.my/3410/ Rice yield prediction - a comparison between enhanced back propagation learning algorithms Saad, Puteh Jamaludin, Nor Khairah Rusli, Nursalasawati Bakri, Aryati Kamarudin, Siti Sakira QA75 Electronic computers. Computer science Back Propagation algorithm(BP} has been popularly used to solve various problems, however it is shrouded with the problems of low convergence and instability. In recent years, improvements have been attempted to overcome the discrepancies aforementioned. In this study, we examine the performance of four enhanced BP algorithms to predict rice yield in MADA plantation area in Kedah, Malaysia. Amidst the four algorithms explored, Conjugate Gradient Descent exhibits the best performance. Penerbit UTM Press 2004-06 Article PeerReviewed application/pdf en http://eprints.utm.my/3410/1/aryati_-_Rice_Yield_Prediction_-_A_Comparison_between_Enhanced_Back_Propagation_Learning.pdf Saad, Puteh and Jamaludin, Nor Khairah and Rusli, Nursalasawati and Bakri, Aryati and Kamarudin, Siti Sakira (2004) Rice yield prediction - a comparison between enhanced back propagation learning algorithms. Jurnal Teknologi Maklumat, 16 (1). pp. 27-34. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Saad, Puteh Jamaludin, Nor Khairah Rusli, Nursalasawati Bakri, Aryati Kamarudin, Siti Sakira Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title | Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title_full | Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title_fullStr | Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title_full_unstemmed | Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title_short | Rice yield prediction - a comparison between enhanced back propagation learning algorithms |
| title_sort | rice yield prediction a comparison between enhanced back propagation learning algorithms |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/3410/1/aryati_-_Rice_Yield_Prediction_-_A_Comparison_between_Enhanced_Back_Propagation_Learning.pdf |
| work_keys_str_mv | AT saadputeh riceyieldpredictionacomparisonbetweenenhancedbackpropagationlearningalgorithms AT jamaludinnorkhairah riceyieldpredictionacomparisonbetweenenhancedbackpropagationlearningalgorithms AT ruslinursalasawati riceyieldpredictionacomparisonbetweenenhancedbackpropagationlearningalgorithms AT bakriaryati riceyieldpredictionacomparisonbetweenenhancedbackpropagationlearningalgorithms AT kamarudinsitisakira riceyieldpredictionacomparisonbetweenenhancedbackpropagationlearningalgorithms |