Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network-Reference-Cited by-同舟云学术

Computational Intelligence-Based Financial Crisis Prediction Model Using Feature Subset Selection with Optimal Deep Belief Network

Author:

Metawa Noura¹²,Pustokhina Irina V.³,Pustokhin Denis A.⁴,Shankar K.⁵,Elhoseny Mohamed⁶⁷

Affiliation:

1. College of Business Administration, American University in the Emirates, Dubai, United Arab Emirates.

2. Faculty of Commerce, Mansoura University, Mansoura, Egypt.

3. Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, Moscow, Russia.

4. Department of Logistics, State University of Management, Moscow, Russia.

5. Department of Computer Applications, Alagappa University, Karaikudi, India.

6. College of Computer Information Technology, American University in the Emirates, Dubai, United Arab Emirates.

7. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

Reference32 articles.

3. 5. Jensen R. Combining rough and fuzzy sets for feature selection. United Kingdom: University of Edinburgh, 2005.

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