Geophysical target identification in environmental investigations

Darin Ashley, Mary M Poulton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
EditorsC.H. Dagli, L.I. Burke, B.R. Fernandez, J. Ghosh
PublisherASME
Pages903-908
Number of pages6
Volume3
StatePublished - 1993
EventProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 - St.Louis, MO, USA
Duration: Nov 14 1993Nov 17 1993

Other

OtherProceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93
CitySt.Louis, MO, USA
Period11/14/9311/17/93

Fingerprint

Environmental engineering
Electromagnetic induction
Feedforward neural networks
Imaging systems
Transmitters
Polarization
Magnetic fields
Neural networks
Hazardous Waste Sites

ASJC Scopus subject areas

  • Software

Cite this

Ashley, D., & Poulton, M. M. (1993). Geophysical target identification in environmental investigations. In C. H. Dagli, L. I. Burke, B. R. Fernandez, & J. Ghosh (Eds.), Intelligent Engineering Systems Through Artificial Neural Networks (Vol. 3, pp. 903-908). ASME.

Geophysical target identification in environmental investigations. / Ashley, Darin; Poulton, Mary M.

Intelligent Engineering Systems Through Artificial Neural Networks. ed. / C.H. Dagli; L.I. Burke; B.R. Fernandez; J. Ghosh. Vol. 3 ASME, 1993. p. 903-908.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ashley, D & Poulton, MM 1993, Geophysical target identification in environmental investigations. in CH Dagli, LI Burke, BR Fernandez & J Ghosh (eds), Intelligent Engineering Systems Through Artificial Neural Networks. vol. 3, ASME, pp. 903-908, Proceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93, St.Louis, MO, USA, 11/14/93.
Ashley D, Poulton MM. Geophysical target identification in environmental investigations. In Dagli CH, Burke LI, Fernandez BR, Ghosh J, editors, Intelligent Engineering Systems Through Artificial Neural Networks. Vol. 3. ASME. 1993. p. 903-908
Ashley, Darin ; Poulton, Mary M. / Geophysical target identification in environmental investigations. Intelligent Engineering Systems Through Artificial Neural Networks. editor / C.H. Dagli ; L.I. Burke ; B.R. Fernandez ; J. Ghosh. Vol. 3 ASME, 1993. pp. 903-908
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