Peng Kai, Wang Shan, Fang Jingyong, et al. Application of probability neural network to high power microwave exploration data processing[J]. High Power Laser and Particle Beams, 2014, 26: 083008. doi: 10.11884/HPLPB201426.083008
Citation:
Peng Kai, Wang Shan, Fang Jingyong, et al. Application of probability neural network to high power microwave exploration data processing[J]. High Power Laser and Particle Beams, 2014, 26: 083008. doi: 10.11884/HPLPB201426.083008
Peng Kai, Wang Shan, Fang Jingyong, et al. Application of probability neural network to high power microwave exploration data processing[J]. High Power Laser and Particle Beams, 2014, 26: 083008. doi: 10.11884/HPLPB201426.083008
Citation:
Peng Kai, Wang Shan, Fang Jingyong, et al. Application of probability neural network to high power microwave exploration data processing[J]. High Power Laser and Particle Beams, 2014, 26: 083008. doi: 10.11884/HPLPB201426.083008
Neural network method is applied to processing exploration data of high power microwave(HPM). A HPM exploration prognosticating model based on analyzing HPM characteristic parameters and creating a HPM characteristic parameters data-base is established. Results can be reverted with training samples by this model. The model shows good ability on predicting. This data processing method can be used in classing or prognosticating exploration data, especially in complex data processing.