Technological Innovation of Manufacturing Industry Based on Genetic Network and Cloud Computing Information

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The neural network has a great advantage in the ability of the high bearing capacity of the noise data and the ability to classify the training data. Therefore, it is feasible and necessary to design a data mining method based on neural network, and to use it in real world problems. Neural Network Artificial has a strong computing power; it is an effective means of knowledge discovery. Manufacturing industry occupies a pivotal position in an economic society, Lean production reflects the advantages of product quality, cost and resource consumption. It has been paid close attention to by other enterprises, and has been applied by many enterprises. This paper intends to discuss the combination of modern cost management theory and lean production mode, so as to improve the cost management ability and reduce the enterprise cost. At the same time, lean thinking is carried out in the new cost management system, and a new cost management model is established to promote the cost management level of Chinese manufacturing enterprises.

Cite

CITATION STYLE

APA

Yu, W., & Meng, Y. (2020). Technological Innovation of Manufacturing Industry Based on Genetic Network and Cloud Computing Information. In Advances in Intelligent Systems and Computing (Vol. 1017, pp. 1957–1968). Springer Verlag. https://doi.org/10.1007/978-3-030-25128-4_258

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free