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This paper analyzes the application of machine learning techniques, particularly deep learning models, for climate change prediction, demonstrating a 15% improvement in accuracy over traditional methods. The proposed hybrid model combines LSTM networks and convolutional layers to effectively capture complex climate data patterns. Future research will focus on incorporating more environmental variables and extending prediction horizons.

Author

jacky.shu0810

Language

EN