Sediment Characterization Based on Portable Free Fall Penetrometer Measurements Using a Deep Neural Network
Author:
Affiliation:
1. Charles E. Via, Jr. Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.
2. Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485347.036
Reference16 articles.
1. Rapid sediment mapping and in situ geotechnical characterization in challenging aquatic areas
2. Estimating in situ relative density and friction angle of nearshore sand from portable free-fall penetrometer tests
3. Bridle J. (1989). “Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters.” Advances in neural information processing systems 2.
4. CPT-Based Probabilistic Soil Characterization and Classification
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