Innovative Method for Earthquake Prediction System using Hybrid Convolutional Neural Network and SVM

Author:

Rajkumar N.1,Kanimozhi N.2,Saravanakumar P.3,Koneru Sireesha4,Sapra Puneet5,Rastogi Ravi6

Affiliation:

1. Vel Tech R. Dr.S. R&D I.S.T. Vel Tech Nagar,Department of CSE,Chennai,Tamilnadu,India

2. School of Computing SRM Institute of Science and Technology,Department of C.I,Chennai,Tamilnadu,India

3. Sri Krishna College of Engg. and Techn,Department of C.E,Coimbatore,Tamilnadu,India

4. Koneru Lakshmaiah Edu.Foundation,Department of Mechanical Engineering,Guntur,Andhra Pradesh,India

5. Rayat Bahra University,Department of CSE,Mohali,Punjab,India

6. NIELIT,Gorakhpur,Uttar Pradesh,India

Publisher

IEEE

Reference26 articles.

1. Classification for Remote Sensing Data With Improved CNN-SVM Method

2. Hybrid CNN-SVM classifier for efficient depression detection system

3. Forecasting emergency demand based on BP neural network and principal component analysis;bin;Advances in Information Sciences and Service Sciences,2013

4. A Simulation model to estimate human loss for occupants of collapsed buildings in an earthquake;murukami;Proc of the Tenth world conference on Earthquake Engineering,1992

5. Earthquake magnitude prediction in Hindukush region using machine learning techniques

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