Abstract
At present, the Chinese construction industry has begun to apply artificial intelligence technology to the research of the construction industry, and it has attracted the attention of many researchers. At present, the main application method is in the construction of the internal system of the intelligent building, use the neural network system, the mold control system, the expert system, and the intelligent decision-making system to achieve the goal of the intelligent building service. This article will analyze the overall situation of artificial intelligence applications in intelligent construction at this stage, based on artificial intelligence technology, and study in detail the application of artificial intelligence systems in various aspects of intelligent construction. Re-excavate the connotation of the urban texture with the methods of quantification and data analysis. Take the texture data of multiple cities as an example, and use methods such as image dimensionality reduction, k-means clustering, convolutional neural network classification, and machine learning to build urban images. The identification and evaluation system finally concludes that in the existing evaluation system, the total economic score, the total soft economic score, the environmental score, and the sanitation score have the greatest correlation with the recognition results of urban texture. Among them is the environmental score. The correlation of health scores is in line with the common cognition of urban research scholars, and the calculation results of total economic scores and total soft economic scores indicate that urban architectural planning and its layout are hidden from the economic situation of the city, and also prove artificial intelligence based on image recognition is necessary to mine city information and evaluate it.
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Change history
02 December 2021
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-021-09178-6
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
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Acknowledgements
This paper is supported by the 2016 Soft Science Research Project of Shaanxi Provincial Department of Science and Technology titled “Research on the Livability of Immigrant Settlement Area in Southern Shaanxi Based on Post-use Evaluation” with Item Number: 2016RKM112, and supported by the 2016 Youth Fund Project of the Ministry of Education titled “Quantitative analysis of the morphology and characteristics of rural settlements in southern Shaanxi” with Item Number: 16XJCZH005.
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Responsible Editor: Sheldon Williamson
This article is part of the Topical Collection on Environment and Low Carbon Transportation
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-09178-6
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Huang, W., Ren, J., Yang, T. et al. RETRACTED ARTICLE: Research on urban modern architectural art based on artificial intelligence and GIS image recognition system. Arab J Geosci 14, 895 (2021). https://doi.org/10.1007/s12517-021-07222-z
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DOI: https://doi.org/10.1007/s12517-021-07222-z