Application model of"Internet+Marketing service"virtual robot under dung beetle optimizer algorithm
In order to deal with the situation of power marketing service under the new situation and improve the service of power grid in the internet era,a virtual robot model of"Internet+ Marketing service"was designed by the dung beetle optimizer(DBO)algorithm.Firstly,interac-tion analysis and relationship framework design were carried out for possible human-machine in-teraction scenarios in the power grid marketing department.Then,a virtual robot autonomous learning model was established based on deep Q network(DQN),and the DBO algorithm was in-troduced to efficiently optimize the model hyperparameters.The optimized model learning was completed through training.Finally,actual power marketing data was input into the model for experimental testing.The actual application of the virtual robot model was comprehensively test-ed in a specific testing environment.The test results show that the normal operation rate of the model and system in functional experiments,non functional experiments,and safety experiments reach 100%,which can achieve human-machine interaction function and the strategic goal of ac-curate response to customer needs.
deep Q networkvirtual robotdung beetle optimizer algorithmhyperparametric op-timizationpower marketing service
国家科技期刊平台
NSTL
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