UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2205890


Registration ID:
402913

Page Number

h695-h704

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Title

DESIGN OF DEEP NEURAL DECISION TREES BASED AUTOMATED FINANCIAL CRISIS PREDICTION MODEL

Abstract

Abstract: Financial crisis prediction (FCP) roles an important play in the economic phenomenon. The precise forecast of the number and probability of failing firms' performances as an index of development and strength of national economy. Usually, many approaches are projected to effectual FCP. Conversely, the classifier efficiency and forecast accuracy, and data legality were not optimum sufficient for practical applications. Besides, several developed approaches execute well for any specific dataset but are not adjustable for distinct datasets. In this view, this study develops a new deep neural decision tree based FCP (DNDT-FCP) model. Similar to the credit scoring, in this paper, we have considered FCP as a classification problem which can decide whether a financial firm is bankrupt or not. To accomplish this, the presented DNDT-FCP model involves the initial data pre-processing step to transform the actual financial data. In addition, the presented DNDT-FCP model employs the DNDT classification model to carry out the FCP process. The experimental validation of the DNDT-FCP model is tested using two benchmark datasets namely Wieslaw dataset and qualitative bankruptcy dataset. The experimental results implied a better performance of the DNDT-FCP model over recent models.

Key Words

Deep learning; Intelligent models; Financial crisis prediction; Neural network; Bankruptcy

Cite This Article

"DESIGN OF DEEP NEURAL DECISION TREES BASED AUTOMATED FINANCIAL CRISIS PREDICTION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h695-h704, May-2022, Available :http://www.jetir.org/papers/JETIR2205890.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DESIGN OF DEEP NEURAL DECISION TREES BASED AUTOMATED FINANCIAL CRISIS PREDICTION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph695-h704, May-2022, Available at : http://www.jetir.org/papers/JETIR2205890.pdf

Publication Details

Published Paper ID: JETIR2205890
Registration ID: 402913
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: h695-h704
Country: Cuddalore, Tamilnadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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