@article{(Open Science Index):https://publications.waset.org/pdf/10011861,
	  title     = {An Artificial Neural Network Model Based Study of Seismic Wave},
	  author    = {Hemant Kumar and  Nilendu Das},
	  country	= {},
	  institution	= {},
	  abstract     = {A study based on ANN structure gives us the information to predict the size of the future in realizing a past event. ANN, IMD (Indian meteorological department) data and remote sensing were used to enable a number of parameters for calculating the size that may occur in the future. A threshold selected specifically above the high-frequency harvest reached the area during the selected seismic activity. In the field of human and local biodiversity it remains to obtain the right parameter compared to the frequency of impact. But during the study the assumption is that predicting seismic activity is a difficult process, not because of the parameters involved here, which can be analyzed and funded in research activity.
},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {15},
	  number    = {2},
	  year      = {2021},
	  pages     = {97 - 100},
	  ee        = {https://publications.waset.org/pdf/10011861},
	  url   	= {https://publications.waset.org/vol/170},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 170, 2021},
	}