In the modern age, we depend on technology for our daily needs, from
groceries to booking tickets for rides. The technology supports us by understanding our
requirements. This is done by using Machine Learning. Machine Learning deals with
understanding human behavior and providing suggestions for our requirements. The
changes in the ecosystem affect the living creatures who depend on the ecosystem. One
of the subsets of Machine Learning that play a vital role in saving the lives of living
creatures is Deep Learning. Deep Learning is a representational learning of artificial
neural networks. Deep Learning keeps on improving so that it can imitate human
intelligence more accurately. Artificial Neural Networks is another subset of Machine
Learning and helps in the growth of Deep Learning. There are different classes of
artificial neural networks, two of the important classes are the Convolutional Neural
Network (CNN) and the Recurrent Neural Network (RNN). The patterns in images are
recognized by CNN. So, CNN majorly deals with image recognition and processing.
RNN helps recognize sequential data and uses this pattern of sequential data to predict
the likely scenarios in the ecosystem. The model, which uses the algorithm of RNN and
CNN, should be trained and tested with the data for better efficiency.
Keywords: Artificial neural network, Convolutional neural network, Deep learning, Earthquake, P-waves, Seismic waves, S-waves.
