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In view of UAV system development and the need of the UAV avionics system health evaluation, this paper establishes UAV state evaluate model of avionics system based on PNN(Probabilistic Neural Networks), designs and realizes UAV avionics system evaluation software. Finally, the simulation result indicates that this algorithm is reasonable and effective. This method can help people to design the avionics...
Current travel time prediction algorithms often need large amount of travel time data to identify the algorithms parameters. However, it is highly costly and time-consuming to obtain many travel time data. In this paper, we proposed an algorithm structure to calculate the travel time which utilize neural network to dynamically predict future speed and employ data fusion to integrate the speed data...
Radial basis function (RBF) has been one of the most common neural networks used in the intrusion detection system (IDS). To improve the approximation performance and calculation speed of RBF, we describe a method to deal with the benchmark datasets adopted in the research. It includes converting the string to numeric elements firstly, then omitting the unnecessary data and ensuring that the data...
According to the non-linear relationship of direct torque control (DTC) system, multiorbit chaos optimizing algorithm is put forward, which resolve the slower converging problem of single-orbit and single-non-linearity-function chaos algorithm. In addition, the conception of neural network group (NNG) is proposed to resolve the bigger periodical errors problem. As the sub-network of NNG is intended...
Fuzzy reasoning is treated as a closed-loop and optimal process, which is different from the dominant view of treating fuzzy reasoning as generalization of classical logical inference, that is, an open-loop and non-optimal process. Further, the fuzzy rule base and the fuzzy reasoning method can constitute a closed-loop control system with a reasoning goals/constraint designed by users. A kind of closed-loop...
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