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Abhinav Tyagi

Personal Details

First Name:Abhinav
Middle Name:
Last Name:Tyagi
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RePEc Short-ID:pty33
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Affiliation

National Council of Applied Economic Research (NCAER)

New Delhi, India
http://www.ncaer.org/
RePEc:edi:ncaerin (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. M. Sharma & A. Tyagi, 2010. "Cyclic behavior of seismogenic sources in India and use of ANN for its prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(2), pages 389-404, November.
  2. A Tyagi & J Harms & A Kamal, 2002. "Analysis of M/M/S queues with 1-limited service," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(7), pages 752-767, July.
    RePEc:igg:jkm000:v:17:y:2021:i:4:p:52-75 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. M. Sharma & A. Tyagi, 2010. "Cyclic behavior of seismogenic sources in India and use of ANN for its prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(2), pages 389-404, November.

    Cited by:

    1. Shahram Kaboodvandpour & Jamil Amanollahi & Samira Qhavami & Bakhtiyar Mohammadi, 2015. "Assessing the accuracy of multiple regressions, ANFIS, and ANN models in predicting dust storm occurrences in Sanandaj, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 879-893, September.
    2. Yen-Ming Chiang & Wei-Guo Cheng & Fi-John Chang, 2012. "A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 769-787, September.
    3. Jamil Amanollahi & Shahram Kaboodvandpour & Hiva Majidi, 2017. "Evaluating the accuracy of ANN and LR models to estimate the water quality in Zarivar International Wetland, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(3), pages 1511-1527, February.
    4. Masoomeh Mirrashid, 2014. "Earthquake magnitude prediction by adaptive neuro-fuzzy inference system (ANFIS) based on fuzzy C-means algorithm," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1577-1593, December.

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