Artificial Neural Network Based Model to Estimate Profit for SMEs

Author(s)	Mr. Ajay Chimanlal Batra, Dr. Hullash Chauhan
Country	India
Abstract	The behavior of any company is highly complicated. This work aims to evaluate of financial performance of a sector-specific business. Numerous financial indicators can be considered, but they often bear only a weak relationship to output performance. Several efforts have been made by researchers to establish stronger input–output relationships. Neural networks provide a powerful technique to capture such relationships, as they can handle non-linearities with ease. This study employs an Artificial Neural Network (ANN)–based model to estimate profit using four independent parameters for small and medium enterprises (SMEs). The output obtained shows a lower error rate compared with traditional Regression Analysis. The established relationship offers deeper insights into the intricate behavior of the sector, allowing for a more precise analysis of the criticality of parameters under consideration. The findings may be useful to companies, board members, shareholders, and entrepreneurs.
Keywords	Correlation Coefficient, Neural Networks, Back Propagation, Univariate Analysis
Field	Engineering
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-09-28
DOI	https://doi.org/10.71097/IJSAT.v16.i3.8411
Short DOI	https://doi.org/g949wp

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