Academic Journal of Computing & Information Science, 2023, 6(4); doi: 10.25236/AJCIS.2023.060401.
Mu Wenxuan, Meng Jiana, Dong Xin, Ma Tengfei
Dalian Minzu University, Dalian, Liaoning, 116650, China
The issue of global warming is becoming increasingly severe. To better understand its causes and take timely measures, this paper employs various models such as the Grey prediction model, ARIMA model, fourth-order polynomial regression model, and time series prediction model based on BP neural network to predict and analyze global temperature data. This research holds practical significance in enabling us to better comprehend the trend of global warming and improve our ability to prevent and control its effects.
Global warming; Gray-scale prediction; ARIMA; Regression fitting; Neural network; Spearman correlation analysis
Mu Wenxuan, Meng Jiana, Dong Xin, Ma Tengfei. Multi-dimensional Analysis of Global Warming Based on Neural Network and Grey System. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 4: 1-8. https://doi.org/10.25236/AJCIS.2023.060401.
[1] Chungang Li. Application of grey forecasting method in commercial chain enterprises [J]. Economist, 2001, (12)
[2] Hua-kai Chiou, Gwo-Hshiung. Grey Prediction Model Forthe Planning Material of Equipment Spare parts in Navy of Taiwan[C].Proceedings of World Automation Congress,2004(17):315-320
[3] George E.P. Box, Gwilym M. Jenkins. Time series analysis-forecasting and control [M]. Beijing: China Statistics Press, 1997:101-149
[4] Shujing Zhang, Lixin Qi. Concise tutorial on time series analysis [M]. Beijing:Northern Jiaotong University Press, 2003:24-59
[5] Weixin Wang, Jinguan Du, Yougui Wu .et al. Applied time series analysis [M]. Guilin:Guangxi Normal University Press, 1999:102-183
[6] Julong Deng. Basic methods of gray systems [M]. Wuhan: Huazhong University of Technology Press, 1987.
[7] Chunyan Lin. A new gray prediction model and its application in population management [J]. Population and Economy, 2002.10.