Abstract
Standing at the perspective of the project management, this thesis, from the relation between schedule, quality and cost, analyzes how the project cost was influenced by the schedule risk and quality risk, assesses the total cost risk of the project with artificial neural network BP algorithm, and determines the most sensitive factors of the project cost risk, which could provide reference for the project managers to control the project cost risk.
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