A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks
Predicting data, in the form of complex and chaotic time series, is one of the fundamental issues in various scientific and industrial fields. Data-driven models such as artificial neural networks and fuzzy neural networks compared to other models have been received more attention due to their speci...
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| Format: | Article |
| Language: | fas |
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Semnan University
2022-09-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_6512_ae017f8b3f7694c76837801099defb65.pdf |
| _version_ | 1797296528048521216 |
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| author | Mehdi Golshan Mohammad Teshnehlab Arash Sharifi |
| author_facet | Mehdi Golshan Mohammad Teshnehlab Arash Sharifi |
| author_sort | Mehdi Golshan |
| collection | DOAJ |
| description | Predicting data, in the form of complex and chaotic time series, is one of the fundamental issues in various scientific and industrial fields. Data-driven models such as artificial neural networks and fuzzy neural networks compared to other models have been received more attention due to their special features. To develop and improve these models, the concepts of the mammalian brain limbic system are used. Therefore, the brain emotional learning machine is introduced. In this paper, the online sequential extreme learning machine is used as the main component in the processing centers of the brain emotional learning machine. To interact between processing centers, the online sequential extreme learning machine is designed in the form of a recurrent memory network with transfer learning ability. The proposed model is named the brain emotional learning based on recurrent memory online extreme learning machine (BEL-ORMS-ELM). To evaluate and compare the efficiency of the proposed model, the initial parameters of the models are adjusted according to the Mackey-Glass and Lorenz time series data under the same conditions. Different models are evaluated and compared based on the valid measurable criteria in regression problems prediction. The simulation results show that the proposed model with sigmoid and hyperbolic tangent activation function for Mackey-Glass and Lorenz time series test data has the highest performance criteria compared to similar online models. It also has acceptable performance for training data compared to similar models. |
| first_indexed | 2024-03-07T22:06:03Z |
| format | Article |
| id | doaj.art-445a4d48238546b5bcd9a0f0c3476707 |
| institution | Directory Open Access Journal |
| issn | 2008-4854 2783-2538 |
| language | fas |
| last_indexed | 2024-03-07T22:06:03Z |
| publishDate | 2022-09-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj.art-445a4d48238546b5bcd9a0f0c34767072024-02-23T19:09:40ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382022-09-01207012110.22075/jme.2022.25125.21846512A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural NetworksMehdi Golshan0Mohammad Teshnehlab1Arash Sharifi2Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Systems and Control Engineering, K.N. Toosi University of Technology, Tehran, IranDepartment of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranPredicting data, in the form of complex and chaotic time series, is one of the fundamental issues in various scientific and industrial fields. Data-driven models such as artificial neural networks and fuzzy neural networks compared to other models have been received more attention due to their special features. To develop and improve these models, the concepts of the mammalian brain limbic system are used. Therefore, the brain emotional learning machine is introduced. In this paper, the online sequential extreme learning machine is used as the main component in the processing centers of the brain emotional learning machine. To interact between processing centers, the online sequential extreme learning machine is designed in the form of a recurrent memory network with transfer learning ability. The proposed model is named the brain emotional learning based on recurrent memory online extreme learning machine (BEL-ORMS-ELM). To evaluate and compare the efficiency of the proposed model, the initial parameters of the models are adjusted according to the Mackey-Glass and Lorenz time series data under the same conditions. Different models are evaluated and compared based on the valid measurable criteria in regression problems prediction. The simulation results show that the proposed model with sigmoid and hyperbolic tangent activation function for Mackey-Glass and Lorenz time series test data has the highest performance criteria compared to similar online models. It also has acceptable performance for training data compared to similar models.https://modelling.semnan.ac.ir/article_6512_ae017f8b3f7694c76837801099defb65.pdfbrain emotional learningonline sequential extreme learning machinerecurrent memory networksneural networks |
| spellingShingle | Mehdi Golshan Mohammad Teshnehlab Arash Sharifi A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks مجله مدل سازی در مهندسی brain emotional learning online sequential extreme learning machine recurrent memory networks neural networks |
| title | A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks |
| title_full | A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks |
| title_fullStr | A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks |
| title_full_unstemmed | A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks |
| title_short | A Modified Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Extreme Learning Machine Based On Neural Networks |
| title_sort | modified brain emotional learning model inspired by online recurrent memory sequential extreme learning machine based on neural networks |
| topic | brain emotional learning online sequential extreme learning machine recurrent memory networks neural networks |
| url | https://modelling.semnan.ac.ir/article_6512_ae017f8b3f7694c76837801099defb65.pdf |
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