Construction Cost Budget Control Based on the Dynamic Distributed Clustering Algorithm

• Published in: Advances in multimedia Vol. 2022; pp. 1 - 10
• Main Authors: Li, Junqing, Li, Yongbing
• Format: Journal Article
• Language: English
• Published: New York Hindawi 04-07-2022; Hindawi Limited
• Subjects: Algorithms; Bids; Budgets; Clustering; Construction costs; Control theory; Cost analysis; Feasibility studies; Iterative algorithms; Iterative methods; Neural networks; Performance indices; Software; System dynamics; Value engineering
• ISSN: 1687-5680; 1687-5699
• DOI: 10.1155/2022/2970872

In order to improve the effect of construction cost budget control, this paper applies the dynamic distributed clustering algorithm to the analysis of project cost budget data and proposes a two-stage strategy iterative algorithm to obtain the iterative control law and iterative performance index function. Moreover, this paper constructs an executive evaluation neural network to approximate the iterative control law and iterative performance index function, respectively. This neural network structure can implement the proposed algorithm online without the need for system dynamics. Through numerical simulation research and evaluation test research, it can be seen that the dynamic distributed clustering algorithm proposed in this paper has a good effect on the construction cost budget control system, which can effectively improve the reliability of construction project cost budget control.