Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295122200> ?p ?o ?g. }
- W4295122200 endingPage "8" @default.
- W4295122200 startingPage "1" @default.
- W4295122200 abstract "This study aims to improve the quality of college financial management and reduce the risk of college financial management, and a college financial system based on multiscale deep learning is designed in this paper. This paper designs a university financial system based on multiscale deep learning. In the hardware design, the system adds multiple sensors and scans all the information in the financial database using a coordinator. In the software design, the weights that can connect the financial information of the same attribute are set by establishing a database form; according to the multilayer perceptual network topology, a full interconnection model based on multiscale deep learning is designed to realize the system’s deep extraction of data. The experimental results show that the financial risk is based on the risk warning capability for university finance, and compared with the system under the traditional design, the university finance system designed at this time has the most categories of financial information parameters extracted." @default.
- W4295122200 created "2022-09-10" @default.
- W4295122200 creator A5009218445 @default.
- W4295122200 creator A5039913857 @default.
- W4295122200 date "2022-09-07" @default.
- W4295122200 modified "2023-10-18" @default.
- W4295122200 title "Deep Learning-Driven Financial Management Innovation Upgrade for Universities" @default.
- W4295122200 cites W1957384063 @default.
- W4295122200 cites W1980192357 @default.
- W4295122200 cites W2023550330 @default.
- W4295122200 cites W2554915206 @default.
- W4295122200 cites W2802164929 @default.
- W4295122200 cites W2810065972 @default.
- W4295122200 cites W2904036058 @default.
- W4295122200 cites W2905054969 @default.
- W4295122200 cites W2911336825 @default.
- W4295122200 cites W2942911371 @default.
- W4295122200 cites W2975388328 @default.
- W4295122200 cites W2989644209 @default.
- W4295122200 cites W3011794532 @default.
- W4295122200 cites W3087674168 @default.
- W4295122200 cites W3092323705 @default.
- W4295122200 cites W3105951585 @default.
- W4295122200 cites W3106664051 @default.
- W4295122200 cites W3121646766 @default.
- W4295122200 cites W3132921282 @default.
- W4295122200 cites W3138575188 @default.
- W4295122200 cites W3183265413 @default.
- W4295122200 cites W3194926994 @default.
- W4295122200 cites W3201675569 @default.
- W4295122200 cites W3204940945 @default.
- W4295122200 cites W4205365495 @default.
- W4295122200 cites W4205952458 @default.
- W4295122200 cites W4280596596 @default.
- W4295122200 cites W4281839015 @default.
- W4295122200 doi "https://doi.org/10.1155/2022/9328712" @default.
- W4295122200 hasPublicationYear "2022" @default.
- W4295122200 type Work @default.
- W4295122200 citedByCount "1" @default.
- W4295122200 countsByYear W42951222002023 @default.
- W4295122200 crossrefType "journal-article" @default.
- W4295122200 hasAuthorship W4295122200A5009218445 @default.
- W4295122200 hasAuthorship W4295122200A5039913857 @default.
- W4295122200 hasBestOaLocation W42951222001 @default.
- W4295122200 hasConcept C10138342 @default.
- W4295122200 hasConcept C108583219 @default.
- W4295122200 hasConcept C111472728 @default.
- W4295122200 hasConcept C111919701 @default.
- W4295122200 hasConcept C119857082 @default.
- W4295122200 hasConcept C123745756 @default.
- W4295122200 hasConcept C138885662 @default.
- W4295122200 hasConcept C144133560 @default.
- W4295122200 hasConcept C154945302 @default.
- W4295122200 hasConcept C199360897 @default.
- W4295122200 hasConcept C2777904410 @default.
- W4295122200 hasConcept C2779530757 @default.
- W4295122200 hasConcept C2780615140 @default.
- W4295122200 hasConcept C29825287 @default.
- W4295122200 hasConcept C31258907 @default.
- W4295122200 hasConcept C32896092 @default.
- W4295122200 hasConcept C41008148 @default.
- W4295122200 hasConcept C56739046 @default.
- W4295122200 hasConcept C76073288 @default.
- W4295122200 hasConcept C76155785 @default.
- W4295122200 hasConceptScore W4295122200C10138342 @default.
- W4295122200 hasConceptScore W4295122200C108583219 @default.
- W4295122200 hasConceptScore W4295122200C111472728 @default.
- W4295122200 hasConceptScore W4295122200C111919701 @default.
- W4295122200 hasConceptScore W4295122200C119857082 @default.
- W4295122200 hasConceptScore W4295122200C123745756 @default.
- W4295122200 hasConceptScore W4295122200C138885662 @default.
- W4295122200 hasConceptScore W4295122200C144133560 @default.
- W4295122200 hasConceptScore W4295122200C154945302 @default.
- W4295122200 hasConceptScore W4295122200C199360897 @default.
- W4295122200 hasConceptScore W4295122200C2777904410 @default.
- W4295122200 hasConceptScore W4295122200C2779530757 @default.
- W4295122200 hasConceptScore W4295122200C2780615140 @default.
- W4295122200 hasConceptScore W4295122200C29825287 @default.
- W4295122200 hasConceptScore W4295122200C31258907 @default.
- W4295122200 hasConceptScore W4295122200C32896092 @default.
- W4295122200 hasConceptScore W4295122200C41008148 @default.
- W4295122200 hasConceptScore W4295122200C56739046 @default.
- W4295122200 hasConceptScore W4295122200C76073288 @default.
- W4295122200 hasConceptScore W4295122200C76155785 @default.
- W4295122200 hasFunder F4320326664 @default.
- W4295122200 hasLocation W42951222001 @default.
- W4295122200 hasLocation W42951222002 @default.
- W4295122200 hasOpenAccess W4295122200 @default.
- W4295122200 hasPrimaryLocation W42951222001 @default.
- W4295122200 hasRelatedWork W2795261237 @default.
- W4295122200 hasRelatedWork W3014300295 @default.
- W4295122200 hasRelatedWork W3164822677 @default.
- W4295122200 hasRelatedWork W4223943233 @default.
- W4295122200 hasRelatedWork W4225161397 @default.
- W4295122200 hasRelatedWork W4312200629 @default.
- W4295122200 hasRelatedWork W4360585206 @default.
- W4295122200 hasRelatedWork W4364306694 @default.
- W4295122200 hasRelatedWork W4380075502 @default.