Abstract
In order to improve the accuracy and efficiency of subway project task man-hours prediction, a generalized regression neural network (GRNN) prediction model based on the improved Sparrow Search Algorithm is proposed. And a prediction study was carried out on the task man-hours of subway projects, and the factors affecting the design task man-hours were analyzed by taking the architectural profession as an example. The algorithm of this paper was used to predict. The results show that the improved GRNN algorithm proposed in this paper has a smaller error and a higher accuracy, and it has great potential for application in the prediction of the task man-hours of subway projects.
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Acknowledgements
Fund project: Science and Technology Project of Sichuan Province (Applied Basic Research), 2020YJ0215; Research on Production Self-organization and Self-regulation in Digital Twin Workshop, 2020.1-2021.12.
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Zhang, Z., Wang, S., Fu, J. (2023). Application of Improved GRNN Algorithm for Task Man-Hours Prediction in Metro Project. In: Sun, J., Wang, Y., Huo, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-19-3387-5_169
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DOI: https://doi.org/10.1007/978-981-19-3387-5_169
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