Infrastructure substation project cost prediction method based on neural network intelligent algorithm
An intelligent algorithm and neural network technology, applied in the field of cost forecasting of infrastructure substation projects based on neural network intelligent algorithm, can solve problems such as waste of enterprise data resources, and achieve the effect of improving analysis efficiency and level, fast operation efficiency and more investment.
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[0039] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments to facilitate a clear understanding of the present invention, but they do not limit the present invention.
[0040] Such as figure 1 As shown, this specific embodiment 1 provides a method for predicting the cost of an infrastructure substation project based on a neural network intelligent algorithm, which specifically includes the following steps:
[0041] 1) Sample collection
[0042] Focus on the investigation of 110kV and above substation projects (new stations, expansion stations, expansion intervals and other individual projects) power grid infrastructure projects completed and put into operation from 2016 to 2018. Sort out business data such as progress, feasibility study, preliminary design, settlement, final account, and capital transfer of infrastructure projects, determine the source of the above data, check the integrity and ...
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