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In order to fully exploit the volatility inherent principle in the return of the securities market, describing asymmetry volatility and heteroscedasticity of the securities market by GARCH method, and combining nonlinear approximating and generalization capability of the neural network, respectively set up GARCH(1,1) and GARCH-BP models for empirical analysis return rate of Shanghai stock index. The...
It is difficult for the control system to get expected effect because of factors such as time-varying and non-linear. Considering the fact, a new algorithm is put forward, in which parameters of the PID control parameters are optimized by BP and RBF nets. By using MATLAB as the simulation tool, this new PID auto-tuning algorithm is simulated and researched. The simulation results show that this algorithm...
The integrated brake controller involves in one electronic unit the antilock control, traction control, yaw stability control and braking force distribution that manipulate forces and timing of braking on each wheel. Main difficulty is that the vehicle-tire dynamics is a nonlinear process. Secondly, controls of antilock, traction, yaw stability and braking force distribution operate for different...
Intention-oriented computational visual attention (ICVA) model attempts to imitate human vision by computational intelligence. This paper contributes to enabling the ICVA model with learning ability so as to acquire or change intention according to assigned image samples. This innovative design is called the self-learning ICVA model which contains a neuro-fuzzy network to learn intention from image...
Motion controllers capable of incremental learning and optimization can automatically tune their parameters to pursue optimal control. By implementing reinforcement learning and approximate dynamic programming, an adaptive critic motion controller is shown able to achieve this objective. The control policy and the adaptive critic are implemented by sparse radial basis function networks. The policy...
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