Linear budget management in internet of things and 6G network environments: Linear regression and time series analysis

Abstract

Budget, as an important component of management accounting, is an effective means for companies to achieve functions such as planning, coordination, and control. It is a bridge and link connecting different units and departments within the company and economic operations. However, current budget management pays less attention to temporal characteristics, leading to budget ambiguity. Taking Company A as an example, the long short-term memory (LSTM) algorithm was used to collect and process historical data and predict its future budget and revenue situation. It was found that the budget management of Company A was relatively chaotic, with insufficient investor information, and the predicted results were close to the actual situation, proving the effectiveness of the model proposed in this paper.