Research on Travel Reimbursement Behavior Management Based on Deep Learning in Financial Sharing Mode

Abstract

The standardization, transformation and upgrading of financial management plays an important supporting role in promoting the standardized management and healthy operation of corporate expense reimbursement behaviors. This paper starts with the behavioral portrait of enterprise personnel travel expense reimbursement. Based on the problems of lengthy process and complex financial accounting in most reimbursement behaviors at this stage, an efficient and efficient expense reimbursement processing method is proposed, that is, reimbursement through collection Information images, using the convolutional neural network algorithm under deep learning, to detect target images and identify valid information, and rely on the financial shared service center's screening function of expense reimbursement behavior portraits under big data, the integrity of expense reimbursement data. Compliance is judged, thus forming a complete set of standardized and procedural personal self-service reimbursement model, which optimizes the management of enterprise expense reimbursement behavior, avoids subsequent losses and resource waste caused by human risks, and improves enterprise operation efficiency and expenses. Control has certain value and reference significance.