Geophysical target identification in environmental investigations

Darin Ashley, Mary Poulton

Research output: Contribution to conferencePaperpeer-review


A system of fully-connected, feedforward neural networks is being developed for environmental engineering applications. The networks will be used in conjunction with a high-frequency electromagnetic induction imaging system with a loop-loop transmitter and receiver, and a frequency range of 1 KHz-1 MHz. Input to the neural network system will be the elliptical polarization of the received magnetic field in three directions for 11 frequencies in the same frequency range. The goal is to produce a plausible interpretation of the data in real time so that the geophysical survey parameters can be adjusted. The system will be used in environmental investigations, from hazardous waste site investigations to the detection of voids in the subsurface.

Original languageEnglish (US)
Number of pages6
StatePublished - 1993
EventProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 - St.Louis, MO, USA
Duration: Nov 14 1993Nov 17 1993


OtherProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93
CitySt.Louis, MO, USA

ASJC Scopus subject areas

  • Software


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