Loading [a11y]/accessibility-menu.js
Prediction of Failure in Pin-joints Using Hybrid Adaptive Neuro-Fuzzy Approach | IEEE Conference Publication | IEEE Xplore

Prediction of Failure in Pin-joints Using Hybrid Adaptive Neuro-Fuzzy Approach


Abstract:

An analysis was performed to evaluate the strength of pin-loaded composite and aluminum joints. The analysis involved using three classifiers: decision tree, adaptive neu...Show More

Abstract:

An analysis was performed to evaluate the strength of pin-loaded composite and aluminum joints. The analysis involved using three classifiers: decision tree, adaptive neuro fuzzy inference system and the combination of two. By using the well-known C4.5 algorithm, as a quick process, the structure of fuzzy inference system (number of membership functions and fuzzy rules) could be roughly estimated. Then, the parameter identification is carried out by adaptive neuro-fuzzy system. The comparison of performance of three methods indicates that mentioned hybridization speeds up learning processes and reduced errors.
Date of Conference: 16-21 July 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9488-7
Print ISSN: 1098-7584
Conference Location: Vancouver, BC, Canada

References

References is not available for this document.