About this document
Neural Network Insights in Civil Engineering by ATISH KUMAR DAS is a document available to read on EtoBox.
The document summarizes testing results related to the bearing capacity of rectangular footings on geogrid-reinforced sand, highlighting the importance of assessing boundary and scale effects in experimental studies. It discusses the relative importance of input neurons in neural network models and critiques the simplistic technique proposed by Garson for interpreting these results. The authors emphasize the need for dimensional analysis to accurately apply model test results to real-life scenarios.
- Author
- ATISH KUMAR DAS
- Language
- EN