A BP Artificial Neural Network Model for Earthquake Magnitude Prediction in Himalayas, India

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Circuits and Systems

ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

Citations h5-index & Ranking

Journals Menu

"A BP Artificial Neural Network Model for Earthquake Magnitude Prediction in Himalayas, India"
written by S. Narayanakumar, K. Raja,
published by Circuits and Systems, Vol.7 No.11, 2016

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model
	Energy Reports, 2022

[2]	Artificial neural network approaches for disaster management: A literature review (2010–2021)
	International Journal of Disaster Risk …, 2022

[3]	Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using …
	Rock Mechanics and Rock …, 2022

[4]	Gated recurrent units based recurrent neural network for forecasting the characteristics of the next earthquake
	Cybernetics and Systems, 2022

[5]	EPM–DCNN: Earthquake Prediction Models Using Deep Convolutional Neural Networks
	Bulletin of the …, 2022

[6]	Pronóstico de series de tiempo empleando redes neuronales y meta-transferencia de aprendizaje
	2022

[7]	Redes neuronales ConvLSTM para la predicción de eventos sísmicos en Chile
	2021

[8]	Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN-BiLSTM Model
	2021 7th International …, 2021

[9]	Neural networks for long-term earthquake prediction using modified meta-learning
	Journal of Intelligent & Fuzzy …, 2021

[10]	Prediction of Photovoltaic Panel Power Outputs Using Time Series and Artificial Neural Network Methods
	Tekirdağ Ziraat Fakültesi Dergisi, 2021

[11]	Multi-step forecasting of earthquake magnitude using meta-learning based neural networks
	Cybernetics and Systems, 2021

[12]	Earthquake Prediction by Using Time Series Analysis
	2021

[13]	Geoinformatics-based assessment of land deformation and damage zonation for Gorkha earthquake, 2015, using SAR interferometry and ANN approach
	2021

[14]	Application of Soft Computing in Geotechnical Earthquake Engineering
	2021

[15]	An Earthquake Prediction System for Bangladesh Using Deep Long Short-Term Memory Architecture
	2021

[16]	LSTM-based earthquake prediction: enhanced time feature and data representation
	2021

[17]	Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction
	2021

[18]	TIME SERIES MODELLING ALGORITHM FOR PREDICTION OF EARTHQUAKES IN NEPAL
	2021

[19]	Earthquake prediction based on Bi-LSTM+ CRF model and Spatio-Temporal Data
	2020

[20]	Development of advanced artificial intelligence models for daily rainfall prediction
	2020

[21]	Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges
	2020

[22]	Estimation of Seismicity Parameters and a Backpropagation Neural Network for Prediction of Earthquake Magnitude in Northeast Region of India
	2020

[23]	LSTM-based Models for Earthquake Prediction
	2020

[24]	DLEP: A Deep Learning Model for Earthquake Prediction
	2020

[25]	GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks
	2020

[26]	Possible Earthquake Prediction In Thailand with Artificial Neural Network models.
	2020

[27]	ความ เป็น ไป ได้ สำหรับ การ คาด การณ์ แผ่นดินไหว ใน ประเทศไทย ด้วย แบบ จำลอง โครง ข่าย ประสาท เทียม.
	Journal of Science & …, 2020

[28]	ความ เป็น ไป ได้ สำหรับ การ คาด การณ์ แผ่นดินไหว ใน ประเทศไทย ด้วย แบบ จำลอง โครง ข่าย ประสาท เทียม
	วารสาร วิทยาศาสตร์ และ …, 2020

[29]	Earthquake Magnitude Prediction Using Recurrent Neural Networks
	2019

[30]	Precursory Pattern based Feature Extraction Techniques for Earthquake Prediction
	2019

[31]	A Particle Swarm Optimization-Backpropagation (PSO-BP) Model for the Prediction of Earthquake in Japan
	2019

[32]	Short-term prediction of the earthquake through Neural Networks and Meta-Learning
	2019

[33]	Earthquakes magnitude prediction using recurrent neural networks
	Conference Paper, 2018

[34]	A Comprehensive Evaluation Model of the Course of Electronic Technology based on Outcomes-based Education
	2018

[35]	Analysis and Research on Outcomes-based Education
	2018

[36]	Regional Using a Deep UKVH Network Model Earthquake Estimation
	2018 Innovations in Intelligent Systems and Applications Conference (ASYU), 2018

[37]	A Study on Earthquake Prediction Using Neural Network Algorithms
	2018

[38]	Forecasting of Power Grid Investment in China Based on Support Vector Machine Optimized by Differential Evolution Algorithm and Grey Wolf Optimization Algorithm
	Applied Sciences, 2018

[39]	Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified …
	Energies, 2018

[40]	Determining Neuronal Number in each Hidden Layer using Earthquake Catalogues as Training data in Training an Embedded Back Propagation Neural Network for …
	2018

[41]	An Innovate Evaluation Index Method of Electronic Technology Teaching Quality based on Outcomes-based Education
	2018

[42]	Daily peak load forecasting based on complete ensemble empirical mode decomposition with adaptive noise and support vector machine optimized by modified grey …
	2018

[43]	Forecasting of Energy-Related CO2 Emissions in China Based on GM (1, 1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping …
	Sustainability, 2018

[44]	Artificial neural networks (ANN) and stochastic techniques to estimate earthquake occurrences in Northeast region of India
	Annals of Geophysics, 2017

[45]	Study on seismic magnitude prediction based on combination algorithm
	2017

[46]	34. A Delicacy Management Model of Teaching Based on Multi Objective Optimization Algorithm
	2017

[47]	Earthquake prediction based on spatio-temporal data mining: an LSTM network approach
	2017

[48]	Snow Disaster Early Warning in Pastoral Areas of Qinghai Province, China
	Remote Sensing, 2017

[49]	134. Innovation of High and New Technology Enterprises under Large Data Environment
	2017

[50]	A weight analysis method of computer graphic design based on improved GA-BP algorithm
	2017

[51]	53. A Multimedia Teaching in Physical Education Classroom Based on Computer Platform
	2017

[52]	61. An Innovation Method of College English Education in the New Media Environment
	2017

[53]	Quantification of recent seismicity and a back propagation Neural Network for forecasting of earthquake magnitude in Northeast Region of India
	Disaster Advances, 2017

[54]	98. Evaluation Index of Physical Education Teaching Quality Based on Index Clustering Method
	2017

[55]	A Multimedia Teaching in Physical Education Classroom Based on Computer Platform
	2017

[56]	Quantitative Analysis of Polarimetric Model-Based Decomposition Methods
	remote sensing, 2016

[1]	Earthquake magnitude prediction using a VMD-BP neural network model Natural Hazards, 2023 DOI:10.1007/s11069-023-05856-8

[2]	Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences Algorithms for Intelligent Systems, 2023 DOI:10.1007/978-981-19-8742-7_20

[3]	Applications of machine learning for earthquake prediction: A review AL-KADHUM 2ND INTERNATIONAL CONFERENCE ON MODERN APPLICATIONS OF INFORMATION AND COMMUNICATION TECHNOLOGY, 2023 DOI:10.1063/5.0119623

[4]	Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model Energy Reports, 2022 DOI:10.1016/j.egyr.2022.06.072

[5]	Artificial neural network approaches for disaster management: A literature review International Journal of Disaster Risk Reduction, 2022 DOI:10.1016/j.ijdrr.2022.103276

[6]	Gated Recurrent Units Based Recurrent Neural Network for Forecasting the Characteristics of the Next Earthquake Cybernetics and Systems, 2022 DOI:10.1080/01969722.2021.1981637

[7]	Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks Cybernetics and Systems, 2022 DOI:10.1080/01969722.2021.1989170

[8]	Artificial neural network approaches for disaster management: A literature review International Journal of Disaster Risk Reduction, 2022 DOI:10.1016/j.ijdrr.2022.103276

[9]	Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks Rock Mechanics and Rock Engineering, 2022 DOI:10.1007/s00603-022-02992-8

[10]	EPM–DCNN: Earthquake Prediction Models Using Deep Convolutional Neural Networks Bulletin of the Seismological Society of America, 2022 DOI:10.1785/0120220058

[11]	Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model Energy Reports, 2022 DOI:10.1016/j.egyr.2022.06.072

[12]	Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model Energy Reports, 2022 DOI:10.1016/j.egyr.2022.06.072

[13]	Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3071400

[14]	Earthquake Prediction by Using Time Series Analysis 2021 9th International Symposium on Digital Forensics and Security (ISDFS), 2021 DOI:10.1109/ISDFS52919.2021.9486358

[15]	Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN- BiLSTM Model 2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS), 2021 DOI:10.1109/ICSPIS54653.2021.9729358

[16]	Case Studies in Building Constructions Building Pathology and Rehabilitation, 2021 DOI:10.1007/978-3-030-55893-2_3

[17]	Intelligent Systems Lecture Notes in Networks and Systems, 2021 DOI:10.1007/978-981-33-6081-5_41

[18]	Geoinformatics-based assessment of land deformation and damage zonation for Gorkha earthquake, 2015, using SAR interferometry and ANN approach SN Applied Sciences, 2021 DOI:10.1007/s42452-021-04574-9

[19]	Latest Developments in Geotechnical Earthquake Engineering and Soil Dynamics Springer Transactions in Civil and Environmental Engineering, 2021 DOI:10.1007/978-981-16-1468-2_21

[20]	Neural networks for long-term earthquake prediction using modified meta-learning Journal of Intelligent & Fuzzy Systems, 2021 DOI:10.3233/JIFS-210173

[21]	DLEP: A Deep Learning Model for Earthquake Prediction 2020 International Joint Conference on Neural Networks (IJCNN), 2020 DOI:10.1109/IJCNN48605.2020.9207621

[22]	Earthquake Prediction using Seismic Information International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020 DOI:10.32628/CSEIT2063107

[23]	Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3029859

[24]	Development of advanced artificial intelligence models for daily rainfall prediction Atmospheric Research, 2020 DOI:10.1016/j.atmosres.2020.104845

[25]	GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks International Journal of Communication Systems, 2020 DOI:10.1002/dac.4373

[26]	Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach IEEE Transactions on Emerging Topics in Computing, 2020 DOI:10.1109/TETC.2017.2699169

[27]	LSTM-based Models for Earthquake Prediction Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 2020 DOI:10.1145/3386723.3387865

[28]	Reliability optimization design method based on multi-level surrogate model Eksploatacja i Niezawodność – Maintenance and Reliability, 2020 DOI:10.17531/ein.2020.4.7

[29]	LSTM-based Models for Earthquake Prediction Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 2020 DOI:10.1145/3386723.3387865

[30]	Earthquake prediction based on Bi-LSTM+CRF model and Spatio-Temporal Data 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2020 DOI:10.1109/ITAIC49862.2020.9339192

[31]	Precursory Pattern based Feature Extraction Techniques for Earthquake Prediction IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2902224

[32]	Emerging Research in Computing, Information, Communication and Applications Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-981-13-5953-8_36

[33]	Short-term prediction of the earthquake through Neural Networks and Meta-Learning 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2019 DOI:10.1109/ICEEE.2019.8884562

[34]	Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm Energies, 2018 DOI:10.3390/en11010163

[35]	Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability Sustainability, 2018 DOI:10.3390/su10040958

[36]	Forecasting of Power Grid Investment in China Based on Support Vector Machine Optimized by Differential Evolution Algorithm and Grey Wolf Optimization Algorithm Applied Sciences, 2018 DOI:10.3390/app8040636

[37]	Determining Neuronal Number in Each Hidden Layer Using Earthquake Catalogues as Training Data in Training an Embedded Back Propagation Neural Network for Predicting Earthquake Magnitude IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2870189

[38]	Snow Disaster Early Warning in Pastoral Areas of Qinghai Province, China Remote Sensing, 2017 DOI:10.3390/rs9050475

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Circuits and Systems

Circuits and Systems

Journals Menu

Home

About SCIRP

Service

Policies