ARTIFICIAL NEURAL NETWORK BASED MODEL TO ESTIMATE PROFIT FOR SME’S
Abstract
The behavior of any company is complicated. This work aims at evaluation of financial performance for business specific company. Numerous financial indicators can be tabled, but bear sparing relation to output performance. Several efforts were made by scientists to bind input output parameters. Neural network is similar technique to grip input output binder. It handles any non-linearity with an ease. This work employs Artificial Neural Network based model to estimate profit using four independent parameters for SME. The output so obtained has less error, compared to Regression Analysis. Established relation permits to understand detailed intricate behavior of the sector and thereby analyze the criticality of parameters under consideration. It may be useful to Companies, Board Members, Stock Holders, and Entrepreneurs.
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