Practical Application Study of Gaussian Process Model in Construction Project Cost Estimation

Abstract:

Early understanding of construction cost represents a critical factor of a feasibility study in the early design phase of a project. A new project cost estimation model based on Gaussian Process was proposed. Gaussian Process model theory was introduced, and project cost estimation model based on Gaussian Process’ flow chart was analyzed in detail. Through example analysis, project cost estimation model based on Gaussian Process using Nelder-Mead and genetic algorithms algorithm was proven feasible for this problem and represented accuracy than BP neural network.

• Periodical: Advanced Materials Research (Volumes 671-674)
• Pages: 3100-3106
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.671-674.3100
• Online since: March 2013
• Authors: Xin Liang Liu, Tao Yin, Guo Dong Wu
• Keywords: Gaussian Process Model, Genetic Algorithm (GA), Project Cost Estimation

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