Description

Earthquake early-warning system (EEWS) is inevitable for saving human lives. The fast determination of the earthquake’s (EQ’s) magnitude and its location is significant in disaster management and EQ risk mitigation. These parameters can be conveyed over the internet of things (IoT) network to alleviate an EQ disaster. This problem is of urgent practical importance because earthquakes pose a rapidly growing threat to survival and sustainable development of our civilization. We are implementing Feature extraction PCA algorithm. We are implementing deep learning algorithm such as convolutional neural network (CNN) and Artificial Neural Network (ANN) Finally, experimental results on our earthquake dataset demonstrate the effectiveness of the proposed earthquake prediction comparing to Existing process. The performance based ANN algorithm achieved the highest accuracy, precision, recall, and F-measure.