Abstract

In order to effectively reduce the risk of construction project (CEP) and maximize the benefit of CEP, this study establishes the construction project economic evaluation (PEE) system by using computer technologies such as transfinite learning machine, artificial intelligence algorithm, and related fuzzy neural network and compares the coupling and sensitivity of different algorithms for PEE indicators, Through the demonstration of the comprehensive efficiency of the PEE system under the condition of computer technology, The results show that the index coupling and early warning sensitivity of the project economic evaluation system using the artificial intelligence algorithm of overlimit learning machine under computer technology are better than the previous traditional algorithms, which can realize the artificial intelligence of the economic evaluation system, reduce the investment cost of the project and improve the delivery time of the project, make the best balance between the technical application and economic operation of the project, and promote the sustainable development of the construction project.

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