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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Soltani, R. Lizhi Xiao |
| Copyright Year | 2009 |
| Description | Author affiliation: Faculty of Natural Resources & Information Technology, China University of Petroleum-Beijing, China (Soltani, R.; Lizhi Xiao) |
| Abstract | This article reports the first neuro-fuzzy algorithm developed for adaptive nonlinear processing of SNMR measurements. Improvements of such an algorithm are currently in progress using type-2 neuro-fuzzy and fuzzy-wavelet-networks. We think that information technology is key to further advance the capability of SNMR. For example, developing the radio-frequency electronics at lower cost; developing multichannel signal processing for multi-receiver (or multichannel) SNMR; developing fuzzy inference systems (FIS) to integrate SNMR information with other complimentary information; developing GIS for SNMR surveys at regional scale to map groundwater resources. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 3578664 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424456987 |
| e-ISBN | 9781424457007 |
| DOI | 10.1109/IIT.2009.5413750 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-15 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protons Working environment noise Instruments Hydrogen Electromagnetic interference Signal processing algorithms Signal processing Adaptive signal processing Noise robustness Information technology |
| Content Type | Text |
| Resource Type | Article |
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