A comprehensive survey on pi-sigma neural network for time series prediction
Prediction of time series grabs received much attention because of its effect on the vast range of real life applications. This paper presents a survey of time series applications using Higher Order Neural Network (HONN) model. The basic motivation behind using HONN is the ability to expand the inpu...
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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka
2017
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| Online Access: | http://eprints.uthm.edu.my/4414/1/AJ%202018%20%28763%29%20A%20comprehensive%20survey%20on%20pi-sigma%20neural%20network%20for%20time%20series%20prediction.pdf |
| _version_ | 1825709839982002176 |
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| author | Akram, Urooj Ghazali, Rozaida Mushtaq, Muhammad Faheem |
| author_facet | Akram, Urooj Ghazali, Rozaida Mushtaq, Muhammad Faheem |
| author_sort | Akram, Urooj |
| collection | UTHM |
| description | Prediction of time series grabs received much attention because of its effect on the vast range of real life applications. This paper presents a survey of time series applications using Higher Order Neural Network (HONN) model. The basic motivation behind using HONN is the ability to expand the input space, to solve complex problems it becomes more efficient and perform high learning abilities of the time series forecasting. Pi-Sigma Neural Network (PSNN) includes indirectly the capabilities of higher order networks using product cells as the output units and less number of weights. The goal of this research is to present the reader awareness about PSNN for time series prediction, to highlight some benefits and challenges using PSNN. Possible fields of PSNN applications in comparison with existing methods are presented and future directions are also explored in advantage with the properties of error feedback and recurrent networks. |
| first_indexed | 2024-03-05T21:48:30Z |
| format | Article |
| id | uthm.eprints-4414 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:48:30Z |
| publishDate | 2017 |
| publisher | Universiti Teknikal Malaysia Melaka |
| record_format | dspace |
| spelling | uthm.eprints-44142021-12-02T07:32:52Z http://eprints.uthm.edu.my/4414/ A comprehensive survey on pi-sigma neural network for time series prediction Akram, Urooj Ghazali, Rozaida Mushtaq, Muhammad Faheem QA273-280 Probabilities. Mathematical statistics Prediction of time series grabs received much attention because of its effect on the vast range of real life applications. This paper presents a survey of time series applications using Higher Order Neural Network (HONN) model. The basic motivation behind using HONN is the ability to expand the input space, to solve complex problems it becomes more efficient and perform high learning abilities of the time series forecasting. Pi-Sigma Neural Network (PSNN) includes indirectly the capabilities of higher order networks using product cells as the output units and less number of weights. The goal of this research is to present the reader awareness about PSNN for time series prediction, to highlight some benefits and challenges using PSNN. Possible fields of PSNN applications in comparison with existing methods are presented and future directions are also explored in advantage with the properties of error feedback and recurrent networks. Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/4414/1/AJ%202018%20%28763%29%20A%20comprehensive%20survey%20on%20pi-sigma%20neural%20network%20for%20time%20series%20prediction.pdf Akram, Urooj and Ghazali, Rozaida and Mushtaq, Muhammad Faheem (2017) A comprehensive survey on pi-sigma neural network for time series prediction. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3.3). pp. 57-62. ISSN 2289-8131 |
| spellingShingle | QA273-280 Probabilities. Mathematical statistics Akram, Urooj Ghazali, Rozaida Mushtaq, Muhammad Faheem A comprehensive survey on pi-sigma neural network for time series prediction |
| title | A comprehensive survey on pi-sigma neural network for time series prediction |
| title_full | A comprehensive survey on pi-sigma neural network for time series prediction |
| title_fullStr | A comprehensive survey on pi-sigma neural network for time series prediction |
| title_full_unstemmed | A comprehensive survey on pi-sigma neural network for time series prediction |
| title_short | A comprehensive survey on pi-sigma neural network for time series prediction |
| title_sort | comprehensive survey on pi sigma neural network for time series prediction |
| topic | QA273-280 Probabilities. Mathematical statistics |
| url | http://eprints.uthm.edu.my/4414/1/AJ%202018%20%28763%29%20A%20comprehensive%20survey%20on%20pi-sigma%20neural%20network%20for%20time%20series%20prediction.pdf |
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