System combination model credibility intelligent evaluation method based on deep learning
A technology of deep learning and combined models, applied in the field of system combat simulation modeling, can solve the problem of low reliability of functional-level equipment models, achieve adaptive intelligent evaluation and model screening, avoid fuzzy phenomena, and improve accuracy Effect
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[0034] As mentioned above, for the radar system model in the context of system operations, the credibility evaluation process of the radar combination model based on the deep learning method is given in the context of cloud simulation. The specific implementation method is as follows:
[0035] Step 1: Obtain a reference learning sample set: take the verified signal-level radar model or radar simulator as a reference model, if m different input conditions are given, a reference learning sample set containing m learning samples can be obtained, Each learning sample contains p outputs;
[0036] Step 2: Obtain a simulation learning sample set: similar to step 1, for radar function-level models of different granularities obtained from the cloud, if n different input conditions are given, a simulation learning sample set containing n learning samples can be obtained ;
[0037] Step 3: Input the reference learning sample set and simulation learning sample set into the deep learning ...
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