@article{(Open Science Index):https://publications.waset.org/pdf/12445,
	  title     = {Generation of Artificial Earthquake Accelerogram Compatible with Spectrum using the Wavelet Packet Transform and Nero-Fuzzy Networks},
	  author    = {Peyman Shadman Heidari and  Mohammad Khorasani},
	  country	= {},
	  institution	= {},
	  abstract     = {The principal purpose of this article is to present a new method based on Adaptive Neural Network Fuzzy Inference System (ANFIS) to generate additional artificial earthquake accelerograms from presented data, which are compatible with specified response spectra. The proposed method uses the learning abilities of ANFIS to develop the knowledge of the inverse mapping from response spectrum to earthquake records. In addition, wavelet packet transform is used to decompose specified earthquake records and then ANFISs are trained to relate the response spectrum of records to their wavelet packet coefficients. Finally, an interpretive example is presented which uses an ensemble of recorded accelerograms to demonstrate the effectiveness of the proposed method.
},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {6},
	  number    = {8},
	  year      = {2012},
	  pages     = {566 - 569},
	  ee        = {https://publications.waset.org/pdf/12445},
	  url   	= {https://publications.waset.org/vol/68},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 68, 2012},
	}