International Journal of Neural Network, 2022, 3(2); doi: 10.38007/NN.2022.030208.
College of Architecture, Xi'an University of Architecture and Technology Huaqing College, Xi'an, 710043, Shaanxi, China
With the growth of population and the rapid development of science and technology and economy, how to sustainably utilize limited WR to support the rapidly increasing population, ensure human water demand, and ensure the sound development of society, economy and ecological environment has long been become one of the hotpots in WR research. Therefore, this paper studies the evaluation model (EM) of regional water resources (WR) sustainable utilization based on neural network. In this paper, city A is taken as an example to study the model of sustainable utilization of WR. Based on deep learning theory, an EM of sustainable utilization of WR—probabilistic neural network (PNN) model is constructed. The research results show that the evaluation results of the PNN model are accurate and reasonable.
Neural Network, Regional Water Resources, Sustainable Utilization, Evaluation Model
Shiyao Liu. Evaluation Model of Regional Water Resources Sustainable Utilization Based on Neural Network. International Journal of Neural Network (2022), Vol. 3, Issue 2: 60-67. https://doi.org/10.38007/NN.2022.030208.
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