An Improved Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine Based On TSK Fuzzy Inference System

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Golshan Mehdi; tashnelab Mohammad; SHARIFI ARASH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: سیستم های فازی و کاربردها Year:2021 | Volume:4 | Issue:1 Page(s): 47-78

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

An Improved Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine Based On TSK Fuzzy Inference System

Author(s)

Golshan Mehdi | tashnelab Mohammad | SHARIFI ARASH | Issue Writer Certificate

Keywords

Brain Emotional Learning

Online Sequential Extreme Learning Machine

Recurrent Memory Networks

Takagi Sugeno Kang Neurofuzzy Networks

Abstract

Prediction models and classification algorithms are widely used in many science and technology. Among their various methods, Well-known data-driven methods such as neural networks and neuro-fuzzy models because of their characteristics have been considered by many researchers. To develop and overcome the weak points of these models, the concepts of the human brain biological systems are used. Therefore, the brain's emotional limbic system is used to develop these models. Brain Emotional Learning (BEL) is an emotional artificial neural network based on the interaction of the thalamus, cortex, amygdala, and orbitofrontal components. This learning machine has different architectures and learning algorithms. In this paper, the online fuzzy extreme learning machine is used as the amygdala and orbitofrontal component in the Brain Emotional Learning machine. To interact between the main components of the Brain Emotional Learning machine, online recurrent memory sequential fuzzy extreme learning machine with different memory depth and transfer learning ability is used. The final design machine is called Brain Emotional Learning based on Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine (BEL-ORMS-FELM). The proposed cognitive machine is designed based on learning the training data one-by-one but also chunk-by-chunk (with ﬁ, xed or varying length) and it can discard training data that has already been trained. Performance comparison of the proposed method is done with other similar learning methods on the benchmark problems of chaotic time series. The results of analysis and simulations show that the performance and accuracy of the proposed method are higher than other methods.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Golshan, Mehdi, tashnelab, Mohammad, & SHARIFI, ARASH. (2021). An Improved Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine Based On TSK Fuzzy Inference System. FUZZY SYSTEMS AND APPLICATION, 4(1 ), 47-78. SID. https://sid.ir/paper/1040672/en

Vancouver: Copy

Golshan Mehdi, tashnelab Mohammad, SHARIFI ARASH. An Improved Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine Based On TSK Fuzzy Inference System. FUZZY SYSTEMS AND APPLICATION[Internet]. 2021;4(1 ):47-78. Available from: https://sid.ir/paper/1040672/en

IEEE: Copy

Mehdi Golshan, Mohammad tashnelab, and ARASH SHARIFI, “An Improved Brain Emotional Learning Model Inspired By Online Recurrent Memory Sequential Fuzzy Extreme Learning Machine Based On TSK Fuzzy Inference System,” FUZZY SYSTEMS AND APPLICATION, vol. 4, no. 1 , pp. 47–78, 2021, [Online]. Available: https://sid.ir/paper/1040672/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops