Effect of Methyl Substitutions on the Ionization Energy of OH3−n(CH3)n+

Optimizing the Spatial-Temporal Extent of Environmental Factors in Forecasting El Niño and La Niña Using Recurrent Neural Network

“…The LSTM layer consists of 32 memory units, ReLU activation, and a dropout of 0.2. Dropout [33] is used as regularization to drop a fraction of randomly selected memory units in the LSTM layer. This means that the information passing through these units is not considered in the forward pass and is not updated during backpropagation, allowing the network to learn robust and generalized data representations.…”