Data-driven SIRMs-connected FIS for prediction of external tendon stress
This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)- connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pair...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8144/ http://ir.unimas.my/id/eprint/8144/1/CAC41061X_Lau%20See%20Hung.pdf |