Modelling Crowdfunding Ensemble Learning Prediction

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.

Saeidi Aghdam Mehran; ALAMTABRIZ AKBAR; BAHIRAIE ALIREZA; SADEGHI AHMAD

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

Journal Paper

Paper Information

Journal: Advances in Mathematical Finance and Applications Year:2021 | Volume:6 | Issue:3 Page(s): 408-423

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Modelling Crowdfunding Ensemble Learning Prediction

Author(s)

Saeidi Aghdam Mehran | ALAMTABRIZ AKBAR | BAHIRAIE ALIREZA | SADEGHI AHMAD | Issue Writer Certificate

Keywords

Prediction

Mathematical

Crowdfunding

Entrepreneurship

Abstract

Crowdfunding is a new technology-enabled innovative process that is changing the capital market space. Internet-based applications, particularly those related to Web 2. 0, have had a significant impact on sectors of society such as education, business, and medicine. The goal of this research is to fill a gap in the literature on Mathematical modelling and Prediction of ensemble learning in order to evaluate Crowdfunding projects. The Mathematical model determines the cost of funding for the entrepreneur and the return investors will receive per period. A correct financial model is essential in order to keep all three stakeholders involved in the long term. The results show the designed model improved performance in predicting the evaluation of success or failure of Crowdfunding projects.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Saeidi Aghdam, Mehran, ALAMTABRIZ, AKBAR, BAHIRAIE, ALIREZA, & SADEGHI, AHMAD. (2021). Modelling Crowdfunding Ensemble Learning Prediction. ADVANCES IN MATHEMATICAL FINANCE AND APPLICATIONS, 6(3), 408-423. SID. https://sid.ir/paper/1032622/en

Vancouver: Copy

Saeidi Aghdam Mehran, ALAMTABRIZ AKBAR, BAHIRAIE ALIREZA, SADEGHI AHMAD. Modelling Crowdfunding Ensemble Learning Prediction. ADVANCES IN MATHEMATICAL FINANCE AND APPLICATIONS[Internet]. 2021;6(3):408-423. Available from: https://sid.ir/paper/1032622/en

IEEE: Copy

Mehran Saeidi Aghdam, AKBAR ALAMTABRIZ, ALIREZA BAHIRAIE, and AHMAD SADEGHI, “Modelling Crowdfunding Ensemble Learning Prediction,” ADVANCES IN MATHEMATICAL FINANCE AND APPLICATIONS, vol. 6, no. 3, pp. 408–423, 2021, [Online]. Available: https://sid.ir/paper/1032622/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops