Accident‐related cost analysis and decision‐making support through econometric modelling

Catalano, Mario; Galatioto, Fabio; Shaikh, Nabeel

doi:10.1049/iet-its.2020.0093

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…That is to say, AI is the basic theory, method and technology of how to apply computer hardware and software to simulate some intelligent behaviors of human beings by studying the laws of human intelligence activities, constructing artificial systems with certain intelligence, and studying how to make computers complete the tasks that used to require human intelligence. Artificial NN is inspired by studying the mystery of human brain, trying to imitate the engineering structure and working mechanism of human brain nervous system with a large number of processing units [10].…”

Section: Research and Application Fields Of Artificial Intelligencementioning

confidence: 99%

Research on Intelligent Prediction of Engineering Cost Based on Artificial Intelligence

2023

IJNDES

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However, due to the limited engineering information in the investment stage of the project, the estimation of construction cost generally has the disadvantages of large error and long preparation time. Therefore, how to calculate the cost (or investment) of engineering projects accurately, reasonably and quickly is a matter of great concern to engineering project practitioners and researchers. Through the combination of systematic theoretical analysis and practical work experience, the index system for construction project cost prediction is constructed. The artificial intelligence (AI) theory of neural network (NN) is selected, and the basic principle, network model and prediction method of construction project cost prediction with this method are systematically analyzed. As a theoretical model, a new construction project cost prediction model is constructed. This paper mainly studies the application of AI methods in the field of construction project evaluation. Three kinds of AI evaluation models are established by using particle swarm optimization artificial neural network (ANN) and case-based reasoning to predict the construction project evaluation, and their effectiveness is verified by examples.

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Section: Research and Application Fields Of Artificial Intelligencementioning

confidence: 99%

Research on Intelligent Prediction of Engineering Cost Based on Artificial Intelligence

2023

IJNDES

View full text Add to dashboard Cite

show abstract

Accident‐related cost analysis and decision‐making support through econometric modelling

Cited by 1 publication

References 23 publications

Research on Intelligent Prediction of Engineering Cost Based on Artificial Intelligence

Research on Intelligent Prediction of Engineering Cost Based on Artificial Intelligence

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