Population Prediction Analysis Based on Convolutional Neural Network Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1157-8_27
Reference18 articles.
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2. Wilson, T., Grossman, I.: Evaluating alternative implementations of the hamilton-perry model for small area population forecasts: the case of Australia. Spatial Demography 10(1), 1–31 (2022)
3. Logofet, D.O., Kazantseva, E.S., Belova, I.N., et al.: Backward prediction confirms the conclusion on local plant population viability. Biol. Bull. Rev. 11(5), 462–475 (2021)
4. Veerachai, G., Leung, Y.T., Watcharavee, C.: Long-term container throughput forecast and equipment planning: the case of Bangkok Port. Maritime Bus. Rev. 3(1), 53–69 (2018)
5. Matthiopoulos, J., Christopher, F., et al.: Predicting population change from models based on habitat availability and utilization. proceedings. Biol. Sci. 286(1901), 20182911–20182911 (2019)
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