An artificial intelligence-based door and window mute detection method
A technology of silent detection and artificial intelligence, applied in the field of artificial intelligence, can solve problems such as overfitting, inaccuracy, affecting the speed of detection, etc., to achieve the effect of improving the accuracy rate
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[0058] (1) Build an initial sound insulation performance model.
[0059] Obtain n different fill rates {F
[0067]
[0070] Repeatedly building the material's initial sound insulation performance model for multiple sound insulation materials, i.e. one for each sound insulation material
[0071] (2) Construction method of batch performance indicator network.
[0076] Using a deep neural network to increase the batch of training data can make the model learned by the network as ignorant as possible.
[0077] Repeatedly constructing a first performance index network for a plurality of sound insulation materials, that is, each sound insulation material corresponds to a first property
[0087]
[0093]
[0101] The two first performance index networks N
[0104]
[0107] Calculate the total affinity between all soundproofing materials.
[0109] Through DBSCAN clustering, a multi-class sound insulation material set is finally obtained: {G
[0112] Input the impact index {F, D, C} corresp...
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