Multilayer feedforward networks are universal approximators
Neural Networks
Approximation capabilities of multilayer feedforward networks
Neural Networks
Research on PID control based on BP neural network and its application
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
IEEE Transactions on Neural Networks
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A time-delay wavelet neural network (TDWNN) is introduced to realize system identification based on model of nonlinear auto-regressive with exogenous inputs (NARX). The method incorporates the delayed massage and the gradient message of the system, is able to reflect the changing tendency of system. Multi-objective optimization method is used to estimate the network coefficient. The wavelet-network-based identification model is used for online system identification, and the experiment result of ship course control proved the efficiency of the identification model.