西南石油大学学报(自然科学版) ›› 2002, Vol. 24 ›› Issue (4): 5-8.DOI: 10.3863/j.issn.1000-2634.2002.04.002
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YIN Cheng1 PU Yong1 ZHOU Jie-ling2 XU Chuan xiong2 ZHENG Xiong2
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Abstract: In general, geophysical inversion is a nonlinear, multi-parameter, non-onvex question. It is therefore worthy of solving geophysical inversion questions with nonlinear approaches to search for new global optimization algorithm. In the present work, the thought of chaotic noise perturbing is introduced intoseismic waveform inversion. The method is characterized by introducing a simple nonlinear feedback into the gradient descendant systems for optimization tasks. It not only maintains the fast searching speed of the gradient descendant method, but also is of the capability to get away from the pitfall of local extremum. Results show that in comparison with conventional genetic algorithm and logistic map-based chaotic optimization algorithm the proposed method is faster in computation and needsless subjective parameters, and then is easier to lead to a global optimization.
Key words: chaos, gradient descendant, optimization algorithm, seismic inversion
CLC Number:
TE13
YIN Cheng PU Yong ZHOU Jie-ling XU Chuan xiong ZHENG Xiong . A STUDY OF SEISMIC WAVEFORM INVERSION BY CHAOTIC NOISE PERTURBING[J]. 西南石油大学学报(自然科学版), 2002, 24(4): 5-8.
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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.2002.04.002
http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2002/V24/I4/5