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Nonlinear inversion algorithm of geological forecast in induced polarization method

Authors: Li Yao; Feng-chao Chen;

Nonlinear inversion algorithm of geological forecast in induced polarization method

Abstract

The linear inversion of hydro-geological prospecting relies on the initial model deeply and its accuracy is poor, so the paper applies the hybrid algorithm of ant colony algorithm (ACO) and BP neural network. Through the MATLAB programming to verify the classical model of the stone with different position date. The inversion results are in agreement with the actual models. In order to highlight the advantages of the joint inversion, the BP algorithm is compared with the ACO-BP algorithm, The results show that the ACO-BP algorithm has its advantages in the inversion occurrence of the abnormal body, it can achieve the goal of advance warn in geological engineering.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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