A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire

Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine

“…While the long short-term memory (LSTM) neural network used in Tamascelli et al 6 has its advantages for sequence prediction tasks, it also has some drawbacks compared to SVMs in certain contexts such as interpretability, training time, data efficiency, hyperparameter tuning, and handling sequential data. SVM models are generally easier to interpret and understand compared to complex neural networks like LSTMs.…”