Neural-network based multi-azimuth processing Huck, A., de Groot, P., Manning, T., Rietveld, W., 2010, 72nd EAGE Conference & Exhibition, June 2010 Download PDF
Quantifying and increasing the value of multi-azimuth seismic Manning, T., Shane, N., Page, N., Barley, B., Rietveld, W., and Keggin, J., 2007, The Leading Edge April 2007 23, 510-520 Download PDF
Assessing hydrocarbon risk with neural network classification methods Aminzadeh, F. , Ross, C,. and Brouwer, F., 2005 EAGE 67th Conference & Exhibition Madrid, Spain, 2005 Download PDF
A neural networks based seismic object detection technique Aminzadeh, F. and de Groot, P., 2005 SEG Technical Program Expanded Abstracts -- 2005 -- pp. 775-778 Download PDF
Unsupervised segmentation in seismic data analysis Grennberg Fismen, B., Clausen, S., Yang, L., Carlin, M., Kavli, T. (all Sintef) and Wansink, G. (formerly dGB), 2001. ICIP conference in Thessaloniki, Greece Download PDF
A new confidence bound estimation method for neural networks, an application example Wansink, G. (formerly dGB), Yang, L. (Sintef), et al., 2001. 63rd EAGE conference, Amsterdam Download PDF
An evaluation of confidence bound estimation methods for neural networks Yang, L. (Sintef), et al., 2000. presented at ESIT Download PDF
Reservoir parameter estimation using a hybrid neural network Aminzadeh, F., et al., 2000. Computer and Geoscience Download PDF
Neural networks introduction A document from 1998 describing Multi-Layer-Perceptrons, Radial-Basis-Functions and Unsupervised-Vector-Quantiser. Download PDF
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