scholar.google.com › citations
Request PDF | BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations | Analysis of stability (mainly bearing ...
This study explores the potential of back propagation neural networks (BPNN) computing paradigm to predict the ultimate bearing capacity of shallow foundations ...
Dheeraj Kumar | Indian School of Mines, Dhanbad - Academia.edu
ismdhanbad.academia.edu › DheerajKumar
BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations. Analysis of stability (mainly bearing strength and settlement) ...
Bibliographic details on BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations.
BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations · V. S. MalladiDheeraj Kumar. Engineering. 2012 1st International ...
BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations. RAIT 2012: 398-403. [+][–]. Coauthor network. maximize. Note ...
BPNN and ANFIS models for prediction of floor bearing characteristics of weak rock foundations · V. S. MalladiDheeraj Kumar. Engineering. International ...
A Recurrent Fuzzy Neural Model of a Gene Regulatory Network ... BPNN and ANFIS Models for Prediction of Floor Bearing Characteristics of Weak Rock Foundations.
... Back Propagation Neural Network (BPNN) layers. A model was devel- oped to automate the selection of impulse responses from large datasets of vibration.
Back Propagation Neural Network (BP), Support Vector Machine and Gray Verhulst model are developed to predict the deformation of foundations, the ...