Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210486815> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4210486815 abstract "The prediction of network security situations is the most basic link in the process of intelligent learning, which supports the further development of artificial intelligence technology and the development of new fields. With the help of deep reinforcement learning technology, the prediction effect of network desktops is further improved, which also guarantees the accuracy of the final prediction results. Therefore, an intelligent network security situation prediction method based on deep reinforcement learning is proposed. Calculate the network interference efficiency factor, create the differentiated time series prediction structure, construct the normalized deep reinforcement learning prediction model, expand the security situation prediction evolution under deep reinforcement learning, and use the hybrid optimization method to predict the network security situation. The experimental results show that compared with the traditional time-domain analysis test group, the prediction error of the deep reinforcement learning prediction group is relatively small, indicating that the prediction effect is better and has potential application significance." @default.
- W4210486815 created "2022-02-08" @default.
- W4210486815 creator A5067368955 @default.
- W4210486815 date "2021-12-24" @default.
- W4210486815 modified "2023-09-30" @default.
- W4210486815 title "Intelligent Network Security Situation Prediction Method Based on Deep Reinforcement Learning" @default.
- W4210486815 cites W2802676081 @default.
- W4210486815 cites W2894662919 @default.
- W4210486815 cites W2907145969 @default.
- W4210486815 cites W2965543987 @default.
- W4210486815 cites W2979814938 @default.
- W4210486815 cites W2990211277 @default.
- W4210486815 cites W2995485526 @default.
- W4210486815 cites W2996841597 @default.
- W4210486815 cites W2997658128 @default.
- W4210486815 cites W3020885311 @default.
- W4210486815 cites W3088991213 @default.
- W4210486815 doi "https://doi.org/10.1109/iaai54625.2021.9699894" @default.
- W4210486815 hasPublicationYear "2021" @default.
- W4210486815 type Work @default.
- W4210486815 citedByCount "1" @default.
- W4210486815 countsByYear W42104868152023 @default.
- W4210486815 crossrefType "proceedings-article" @default.
- W4210486815 hasAuthorship W4210486815A5067368955 @default.
- W4210486815 hasConcept C108583219 @default.
- W4210486815 hasConcept C111919701 @default.
- W4210486815 hasConcept C119857082 @default.
- W4210486815 hasConcept C154945302 @default.
- W4210486815 hasConcept C182590292 @default.
- W4210486815 hasConcept C199360897 @default.
- W4210486815 hasConcept C2780801425 @default.
- W4210486815 hasConcept C38652104 @default.
- W4210486815 hasConcept C41008148 @default.
- W4210486815 hasConcept C50644808 @default.
- W4210486815 hasConcept C97541855 @default.
- W4210486815 hasConcept C98045186 @default.
- W4210486815 hasConceptScore W4210486815C108583219 @default.
- W4210486815 hasConceptScore W4210486815C111919701 @default.
- W4210486815 hasConceptScore W4210486815C119857082 @default.
- W4210486815 hasConceptScore W4210486815C154945302 @default.
- W4210486815 hasConceptScore W4210486815C182590292 @default.
- W4210486815 hasConceptScore W4210486815C199360897 @default.
- W4210486815 hasConceptScore W4210486815C2780801425 @default.
- W4210486815 hasConceptScore W4210486815C38652104 @default.
- W4210486815 hasConceptScore W4210486815C41008148 @default.
- W4210486815 hasConceptScore W4210486815C50644808 @default.
- W4210486815 hasConceptScore W4210486815C97541855 @default.
- W4210486815 hasConceptScore W4210486815C98045186 @default.
- W4210486815 hasLocation W42104868151 @default.
- W4210486815 hasOpenAccess W4210486815 @default.
- W4210486815 hasPrimaryLocation W42104868151 @default.
- W4210486815 hasRelatedWork W2795261237 @default.
- W4210486815 hasRelatedWork W3014300295 @default.
- W4210486815 hasRelatedWork W3164822677 @default.
- W4210486815 hasRelatedWork W4223943233 @default.
- W4210486815 hasRelatedWork W4225161397 @default.
- W4210486815 hasRelatedWork W4312200629 @default.
- W4210486815 hasRelatedWork W4360585206 @default.
- W4210486815 hasRelatedWork W4364306694 @default.
- W4210486815 hasRelatedWork W4380075502 @default.
- W4210486815 hasRelatedWork W4380086463 @default.
- W4210486815 isParatext "false" @default.
- W4210486815 isRetracted "false" @default.
- W4210486815 workType "article" @default.