Back to Results
First PageMeta Content
Randomness / Statistical randomness / Stochastic / Monte Carlo method / Prediction / Probabilistic design / Bernoulli stochastics / Statistics / Probability and statistics / Science


Stochastic Simulation of Settlement Prediction of Shallow Foundations Based on a Deterministic Artificial Neural Network Model
Add to Reading List

Document Date: 2013-01-15 18:50:07


Open Document

File Size: 422,85 KB

Share Result on Facebook

City

Cambridge / Jaksa / Adelaide / San Diego / New York / /

Company

Palisade Corp. / John Wiley and Sons Inc. / MIT Press / University of Adelaide SA / Wiley Press / /

Country

Australia / Mexico / /

Currency

SLL / /

/

Facility

University of Wollongong / The University of Adelaide / /

IndustryTerm

settlement accounting / neural networks / artificial neural network / regression neural networks / backpropagation algorithm / artificial neural networks / deterministic single solution / stochastic solution / /

Organization

University of Adelaide / University of Wollongong / MIT / School of Civil & Environmental Engineering / School of Civil / Mining & Environmental Engineering / /

Person

Claudio Cherubini / Leone / Elton / Johnson / Sivakugan / /

Position

D. J. / Professor / designer / shahin@uow.edu.au 2Senior Lecturer / ANN model Data set / General / /

ProgrammingLanguage

C++ / /

ProvinceOrState

M. B. / New York / California / /

Technology

Neural Network / Environmental Engineering / Simulation / backpropagation algorithm / PDF / /

SocialTag