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 language | English (US) |
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| Pages | 903-908 |
| Number of pages | 6 |
| State | Published - 1993 |
| Event | Proceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 - St.Louis, MO, USA Duration: Nov 14 1993 → Nov 17 1993 |
Other
| Other | Proceedings of the 1993 Artificial Neural Networks in Engineering, ANNIE'93 |
|---|---|
| City | St.Louis, MO, USA |
| Period | 11/14/93 → 11/17/93 |
ASJC Scopus subject areas
- Software