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In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data is projected from high-dimensional to low-dimensional,...
A new neural network model to predict hysteresis output in piezoelectric actuator is presented. An improved Preisach operator description is given and analyzed in detail. The hysteresis model is implemented with a Neural Network Model to construct a classical Preisach model. The experiment results show the validity for predicting the output of hysteresis in the piezoelectric actuators.
This paper has effectively combined self-study advantage of adaptive neural network and fuzzy reasoning method of fuzzy math, resolved the problem that the fuzzy rule is difficult to be determined in the fault diagnosis for transformer insulation, confirmed the fuzzy rule and the fuzzy subject degree by using self-study function of adaptive neural network and established ANFIS model of transformer...
A new scheme of incorporating the fault tolerance and disturbance rejection in an existing flight control system is proposed. Method to design a standalone compensator is suggested which is added to the original system in order to guarantee the system stability and performance in the presence of fault or disturbances. Thus the controller, which is designed separately considering all the design parameters...
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