A conversion method for model deduction to intelligent deduction
A model and intelligent technology, applied in inference methods, neural learning methods, biological neural network models, etc., can solve problems such as the use of deep reinforcement learning without a detailed introduction
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[0030] The present invention is further described below in conjunction with the accompanying drawings, but the present invention is not limited in any way, any transformation or substitution based on the teachings of the present invention, is within the scope of the present invention.
[0031] Object of the present invention is to convert the equipment unit model data of the adversarial two sides, the unit behavior model data input model into an image model that can be used for deep reinforcement learning, the unit behavior decision-making output into an output that can be used for deep reinforcement learning, the virtual environment deduction image model transformation, to adapt to the needs of deep reinforcement learning, to provide a basis for intelligent adversarial unit deduction. Adversarial units of the present invention include ground adversarial units, aerial adversarial units and surface adversarial units.
[0032] as Figure 1 As shown, the present invention discloses a ...
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