The Comparison of RBF and BP Neural Network in Decoupling of DTG
نویسندگان
چکیده
In order to improve the precision of gyroscope, two decoupling method of DTG(Dynamic Tuned Gyroscope) were analyzed, the BP neural network and RBF network. The BP neural network has many advantages Compared to the traditional decoupling method, but still some drawbacks such as the over training, the congress process is very slow, and the hidden layer is also hard to determined. The paper introduced the RBF network as the new decoupling method compared with BP network. The simulation result verified that the RBF network is faster than BP, and also the accuracy is much higher.
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