Title: Error correction method of enterprise product cost accounting based on machine learning algorithm

Authors: Hui Zhou

Addresses: College of Management, Hunan City University, Yiyang, Hunan, 413000, China

Abstract: In order to solve the problems of large error correction result and long-time consumption in traditional cost accounting methods, an error correction method of enterprise product cost accounting based on machine learning algorithm is proposed. By analysing the specific cost chain and accounting error sources of enterprise product production, the influence of uncontrollable factors on accounting error is preliminarily avoided. On this basis, the total error of cost accounting is determined by constructing error measurement model. Finally, the optimal solution of error calculation is obtained by using the support vector machine concept in machine learning algorithm, so as to realise error correction. The experimental results show that the correction time consumption of the proposed method is short, the accuracy is high, and the memory space is small, which indicates that the method has a certain application value and can be widely used in the field of enterprise cost accounting.

Keywords: machine learning; cost accounting; error correction; fuzzy support vector machine; cost chain; error measurement model.

DOI: 10.1504/IJPD.2021.116148

International Journal of Product Development, 2021 Vol.25 No.2, pp.101 - 113

Received: 05 Nov 2020
Accepted: 14 Mar 2021
Published online: 12 Jul 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article