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International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3

By
Yi Xie
Yi Xie
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ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011

The aim of this paper is to demonstrate the use of Regression Based Neural Network (RBNN) method to study the problem of the natural frequencies of the rotor blade for micro unmanned helicopter [2]. The training of the traditional ANN (Artificial Neural Network) model and proposed RBNN model has been implemented in the MATLAB environment using NNT (Neural Network Tools) built-in functions. The natural frequencies (Omega) of the blade for the helicopter graphs are plotted for estimation of the natural frequencies (f1, f2, f3). The results obtained in this research show that the RBNN model, when trained, can give the...

Abstract
Key Words
1. Introduction
2. Transverse Vibrations Analysis
3. Identification of the RBNN Model: Solution Technique
4. Numerical Results
Conclusion
References
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