Research on Dynamic Management Mode of Construction Cost Based on Deep Learning

Abstract

: In construction projects, only by doing a good job in engineering cost can we help the construction units to complete the construction objectives and benefit objectives, thus helping enterprises to improve their comprehensive competitiveness in the construction market. As far as construction engineering is concerned, it will be affected by various factors in the actual construction process, resulting in changes, including transportation, labor and material expenses. If it is not effectively controlled, a certain amount of money will be wasted. In the fierce market competition, construction enterprises must carry out reasonable and efficient management and control of the project cost, so as to effectively guarantee the economic and social benefits. Based on the general situation of dynamic management and control of construction engineering cost, this paper analyzes the existing problems of dynamic management and control of construction engineering cost, and puts forward a dynamic management mode of construction engineering cost based on deep learning, aiming at realizing effective control of construction engineering cost.