Prediction of Shandong Province Industrial Land Quantity Based on ANN and Python
Abstract— Land is the basic resource for human survival and development, as an important type of land,
industrial land is the carrier of human production, efficient use of industrial land is an important guarantee for
human production. Shandong province is one of the most important industrial provinces in China, which has
a great demand for industrial land, therefore, the prediction of industrial land use is the premise of rational
land use. In this paper, the GDP of shandong province, industrial output above designated size and fixed asset
investment were taken as input values, and industrial land quantity was taken as output to construct the
artificial neural network model, the historical official statistics from 2001 to 2015 were used as the training
values, and Python was used as the calculation tool to train the model, after the process, the relevant
parameters of model were obtained, and precision of the model was analyse. Finally, the land use volume in
the future was predicted with the trained model, and the predicted results can be used as a reference for land
Index Terms— industry land quantity, prediction, ANN, Python.
Shandong Jiaotong University, CHINA
Cite: Bi He, "Prediction of Shandong Province Industrial Land Quantity Based on ANN and Python," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 617-621, Hong Kong, 15-17 June, 2019.