A Machine Learning Model to Predict Earthquake Utilizing Neural Network

From the very beginning of the cognitive revolution, humans wanted to understand how nature works. The rapid release of deposited power inside the Earth's core causes an earthquake that creates massive waves. Earthquake is the deadliest of all-natural forces, as it does not come with a signal among all the natural phenomena, it is the earthquake that has been the greatest killer of human civilizations and has suffered obliteration of properties leading to billions of money. Our paper proposed a neural network model compared with ten machine learning algorithms to predict the earthquake in Bangladesh as well as the subcontinental regions. Our experiment showed over 82.31% accuracy with the ZeorR algorithm, and over 95% accuracy with our proposed multi-layer neural networks system.