Device and method for extracting deep belief network information in cognitive information confrontation

The invention provides a deep belief network intelligence extraction device and method in cognitive information confrontation, and relates to the technical field of cognitive electronic warfare. The device comprises a DBN network deep learning platform, a front-end multi-source sensor and a data mem...

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description The invention provides a deep belief network intelligence extraction device and method in cognitive information confrontation, and relates to the technical field of cognitive electronic warfare. The device comprises a DBN network deep learning platform, a front-end multi-source sensor and a data memory, massive target feature data is collected in real time through the front-end multi-source sensorand input into a DBN network input layer, and original information is uploaded through the input layer; according to the deep learning architecture based on the DBN network, the weight of a generation model is obtained through training of an unsupervised greedy layer-by-layer method, the value is transmitted to a hidden layer through the weight, and on the contrary, the formed weight can be randomly selected to reconstruct original input data; through multi-time iteration of a bidirectional data layer and a hidden layer, obtaining real feature expression of massive reconnaissance data; high-precision analysis intelli
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Device and method for extracting deep belief network information in cognitive information confrontation
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