Acoustic impedance inversion by feedback artificial neural network (Article)
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[1] A. Tarantola. Inversion of seismic reflection data in the acoustic approximation , 1984 .
[2] J. Elman. Distributed representations, simple recurrent networks, and grammatical structure , 1991, Machine Learning.
[3] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[4] G. Henry. La sismique réflexion, principes et développements , 1997 .
[5] Jerry M. Mendel,et al. Adaptive minimum prediction-error deconvolution and source wavelet estimation using Hopfield neural networks , 1992 .
[6] C. Manoj,et al. The application of artificial neural networks to magnetotelluric time-series analysis , 2003 .
[7] Michel Kern,et al. Inversion of reflection seismograms by differential semblance analysis: algorithm structure and synthetic examples1 , 1994 .
[8] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[9] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[10] Stephen A. Billings,et al. Please Scroll down for Article , 1992 .
[11] Bhaskar D. Rao,et al. A generalized learning paradigm exploiting the structure of feedforward neural networks , 1996, IEEE Trans. Neural Networks.
[12] Mrinal K. Sen,et al. Artificial neural networks for parameter estimation in geophysics , 2000 .
[13] Maurice Bellanger,et al. Traitement numerique du signal , 1984 .
[14] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[15] Kamel Baddari,et al. Application of feedback connection artificial neural network to seismic data filtering , 2008, 0811.2743.
[16] Luigi Occhipinti,et al. Estimation of seismic waveform governing parameters with neural networks , 1996 .
[17] A. Tarantola. LINEARIZED INVERSION OF SEISMIC REFLECTION DATA , 1984 .