Shu Lou
ABSTRACT
In the architectural design, the choice of materials is very important. The choice of materials not only affects the appearance and style of the building, but also directly affects the quality, safety and sustainability of the building. Therefore, architects must consider a variety of factors when selecting materials, including material performance, cost, environmental protection, maintainability and so on. However, the existing material selection methods are mostly based on traditional methods, and the ordinary methods have serious shortcomings in terms of efficiency and accuracy in today's highly developed AI technology. Based on this, through the current development and application status of prefabricated buildings at home and abroad, this paper explores the design, information application, supply chain and on-site construction of prefabricated buildings, and summarizes the main factors affecting the cost of prefabricated buildings. On the basis of the above research, the paper puts forward the principle, applicability and rationality of BP neural network, and uses MATLAB software to establish the cost estimation model of prefabricated construction projects, which provides a reference for enterprises and institutions engaged in prefabricated construction projects and individuals to quickly estimate and make decisions on prefabricated construction projects.
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Index Terms
- A Decision Method for Material Selection in Architectural Design Based on Improved BP Algorithm
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