A Study on a Method for Determining Non-Linear Critical Line of Slope Failures During Heavy Rainfall Based on RBF Network.

Doboku Gakkai Ronbunshu
doi 10.2208/jscej.2001.672_117
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Japan Society of Civil Engineers

Related search

Site Characteristics of Slope Failures Caused by Rainfall.

Doboku Gakkai Ronbunshu
1993English

Consideration on Critical Rainfall for Prediction of Occuring Time of Slope Failure

Landslides
1986English

A Proposed Method for Determining Propulsion Coefficient Based on Testing Motor Freighters on Danube Waterway Network

Journal of the Serbian Society for Computational Mechanics
Computational Mechanics
2019English

A Study of a System for Forecasting Metamorphic-Rock Cut-Off Slope Collapse During Heavy Rain Using Neural Network.

Doboku Gakkai Ronbunshu
1997English

Nonlinear Identification on Based RBF Neural Network

2011English

On Critical Service Recovery After Massive Network Failures

IEEE/ACM Transactions on Networking
Electronic EngineeringComputer NetworksCommunicationsComputer Science ApplicationsElectricalSoftware
2017English

Recognition Method of Drinking-Driving Behaviors Based on PCA and RBF Neural Network

Promet - Traffic - Traffico
CivilEngineeringOcean EngineeringStructural Engineering
2018English

A Class of S-Step Non-Linear Iteration Scheme Based on Projection Method for Gauss Method

Advances in Mathematical Sciences
2019English

A Short-Term Heavy Rainfall Nowcasting Method Considering the Deformation Errors of Rainfall Area Based on the Image Processing Technique

Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy