Predictive Gain Estimation - A mathematical analysis

TL;DR

This paper introduces new techniques for gain expectation analysis using neural perceptron properties, AI methods like support rule and sequence mining, and fuzzy/statistical gain sensing, aiming to improve business gain estimation.

Contribution

It presents novel approaches combining neural, AI, fuzzy, and statistical methods for gain estimation in business analysis.

Findings

Neural perceptron-based gain expectation techniques

Support rule and sequence mining applications in gain analysis

Fuzzy and statistical gain sensing methods proposed

Abstract

In case of realization of successful business, gain analysis is essential. In this paper we have cited some new techniques of gain expectation on the basis of neural property of perceptron. Support rule and Sequence mining based artificial intelligence oriented practices have also been done in this context. In the view of above fuzzy and statistical based gain sensing is also pointed out.