Elevator calling method, device and equipment and storage medium
A technology for calling elevators and elevators, applied in the field of devices, a method for calling elevators, equipment and storage media, can solve problems such as complicated operation of calling elevators, achieve the effects of reducing operations, improving efficiency, and expanding the scope of application
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[0027] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.
[0028] First, some terms involved in this application are introduced.
[0029] Elevator call model: is a mathematical model used to determine whether to send a call request to the elevator based on the data entered.
[0030] Optionally, the elevator call model includes but not limited to: deep neural network (Deep Neural Network, DNN) model, recurrent neural network (Recurrent Neural Networks, RNN) model, embedding (embedding) model, gradient boosting decision tree (Gradient Boosting Decision Tree, GBDT) model, logistic regression (LogisticRegression, LR) model at least one.
[0031] The DNN model is a deep learning framework. The DNN model includes an input layer, at least one hidden layer (or middle layer) and an output layer...
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