WCBP: A new water cycle based back propagation algorithm for data classification
Water Cycle algorithm is a modern nature inspired meta-heuristic algorithm to provide derivative-free solution to optimize complex problems. The back-propagation neural network (BPNN) algorithm performs well on many complex data types but it possess the problem of network stagnancy and local minima....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Asian Research Publishing Network (ARPN)
2016
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| Online Access: | http://eprints.uthm.edu.my/4299/1/AJ%202016%20%2836%29.pdf |
| _version_ | 1825709818113949696 |
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| author | Mohd. Nawi, Nazri Khan, Abdullah Firdaus, Naim M. Z., Rehman Siming, Insaf Ali |
| author_facet | Mohd. Nawi, Nazri Khan, Abdullah Firdaus, Naim M. Z., Rehman Siming, Insaf Ali |
| author_sort | Mohd. Nawi, Nazri |
| collection | UTHM |
| description | Water Cycle algorithm is a modern nature inspired meta-heuristic algorithm to provide derivative-free solution to optimize complex problems. The back-propagation neural network (BPNN) algorithm performs well on many complex data types but it possess the problem of network stagnancy and local minima. Therefore, this paper proposed the use of WC algorithm in combination with Back-Propagation neural network (BPNN) algorithm to solve the local minima problem in gradient descent trajectory. The performance of the proposed Water Cycle based Back-Propagation (WCBP) algorithm is compared with the conventional BPNN, ABC-BP and ABC-LM algorithms on selected benchmark classification problems from UCI Machine Learning Repository. The simulation results show that the BPNN training process is highly enhanced when combined with WC algorithm. |
| first_indexed | 2024-03-05T21:48:11Z |
| format | Article |
| id | uthm.eprints-4299 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:48:11Z |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | uthm.eprints-42992021-12-02T02:40:49Z http://eprints.uthm.edu.my/4299/ WCBP: A new water cycle based back propagation algorithm for data classification Mohd. Nawi, Nazri Khan, Abdullah Firdaus, Naim M. Z., Rehman Siming, Insaf Ali QA299.6-433 Analysis Water Cycle algorithm is a modern nature inspired meta-heuristic algorithm to provide derivative-free solution to optimize complex problems. The back-propagation neural network (BPNN) algorithm performs well on many complex data types but it possess the problem of network stagnancy and local minima. Therefore, this paper proposed the use of WC algorithm in combination with Back-Propagation neural network (BPNN) algorithm to solve the local minima problem in gradient descent trajectory. The performance of the proposed Water Cycle based Back-Propagation (WCBP) algorithm is compared with the conventional BPNN, ABC-BP and ABC-LM algorithms on selected benchmark classification problems from UCI Machine Learning Repository. The simulation results show that the BPNN training process is highly enhanced when combined with WC algorithm. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4299/1/AJ%202016%20%2836%29.pdf Mohd. Nawi, Nazri and Khan, Abdullah and Firdaus, Naim and M. Z., Rehman and Siming, Insaf Ali (2016) WCBP: A new water cycle based back propagation algorithm for data classification. ARPN Journal of Engineering and Applied Sciences, 11 (24). pp. 14132-14135. ISSN 1819-6608 |
| spellingShingle | QA299.6-433 Analysis Mohd. Nawi, Nazri Khan, Abdullah Firdaus, Naim M. Z., Rehman Siming, Insaf Ali WCBP: A new water cycle based back propagation algorithm for data classification |
| title | WCBP: A new water cycle based back propagation algorithm for data classification |
| title_full | WCBP: A new water cycle based back propagation algorithm for data classification |
| title_fullStr | WCBP: A new water cycle based back propagation algorithm for data classification |
| title_full_unstemmed | WCBP: A new water cycle based back propagation algorithm for data classification |
| title_short | WCBP: A new water cycle based back propagation algorithm for data classification |
| title_sort | wcbp a new water cycle based back propagation algorithm for data classification |
| topic | QA299.6-433 Analysis |
| url | http://eprints.uthm.edu.my/4299/1/AJ%202016%20%2836%29.pdf |
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