Patent ID: 11965666
Assignee: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAI
Field: Control (Instruments)
Classification: CPC F  G | IPC F  G

Claim 9:
10. The storage medium according to claim 9, before performing the default parameter filling on the air conditioner operating parameters collected under each of the multiple moments based on the constraint network model, so as to obtain the multiple sets of operating parameters of the target air conditioner, the control method for the air conditioner further comprising:
constructing a second reward matrix based on multiple sets of standard operating parameters of the air conditioner, wherein the multiple sets of standard operating parameters of the air conditioner are air conditioner operating parameters satisfying a preset condition;
acquiring training set data and validation set data from the second reward matrix;
training a radial basis function neural network model based on the training set data, wherein the radial basis function neural network model comprises an input layer, a hidden layer and an output layer, and the number of neuron in the hidden layer of the radial basis function neural network model is regulated by an objective loss function;
verifying an accuracy rate of the radial basis function neural network model based on the validation set data; and
using the radial basis function neural network model as the constraint network model in a case that the accuracy rate of the radial basis function neural network model is greater than a preset value.