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Because there exists drawback in traditional type-1 fuzzy sets to deal with uncertainty, type-2 fuzzy sets have been proposed to replace their type-1 counterparts. This paper presents numerical calculation procedure of computing with words for interval type-2 fuzzy set (IT2 FS) based on fuzzy extension principle. Three kinds of interval type-2 fuzzy sets, such as discrete, semi-discrete and continuous,...
In this paper, we propose a new method for enrollments prediction, based on fuzzy time series. The new method constructs high-order fuzzy logical relationships with high-order heuristic function based on the historical data and uses nature-ratio techniques to partition the length of each interval in the universe of discourse for enrollments forecasting to increase the prediction accuracy rate. The...
Near-infrared (NIR) spectroscopy is a kind of non-destructive technology, which has many advantages. Infrared spectrum is highly characteristic and can be used to analyze and identify. However, researches and applications of NIR spectroscopy in plant classification and growth monitoring are still rare. This paper conducted NIR spectroscopy experiments on Cinnamomum camphora and Aceraceaedie leaves...
The paper proposed an algorithm which can get over the BP algorithm's shortcomings of slow convergence speed, computation complexity and local minimum by using the UKF to estimate the parameters of WNN. Then it takes the phenomenon of aerodynamic modeling of quasi-steady stall for ATTAS aircraft as applying background and uses the algorithm of BP, EKF and UKF to train the WNN respectively. From the...
A synchronous control system for three-motor is presented in this paper. The control system includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling of multi-variable. The results of experiment indicates that the control system can get some optimal parameters...
The growing revolution in wind energy encourages more accurate models for wind speed forecasting as the wind is fluctuate, periodic and volatile. An artificial neural network (ANN) method is used to predict the average hourly wind speed. Different from the multilayer perception network (MLP) which is more conversant, this paper presents a novel technique based on radial basis function (RBF) network...
Multi-motor synchronous system is being widely applied in industrial field, in order to ulteriorly improve synchronous performance of multi-motor system, this paper presents a synchronous control system for three-motor which includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling...
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