Bridging Learning and Forecasting: An Analytical Study of LSTM and CNN Machine Learning Techniques for Weather Prediction
The research paper presents a detailed account of how deep learning, more specifically Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architectures, has been pivotal in advancing weather prediction accuracy as well as reliability. Even though numerical weather prediction models based on traditiona...