Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323361496> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4323361496 abstract "The Industrial Internet is based on the network, the platform is the core, and the security is the guarantee. The Industrial Internet connects all industry elements and the entire industry chain through the large-scale network infrastructure, collects and analyzes industry data in real time, and forms a new application model for a new generation of information communication. With the rapid development of industrial Internet technology, the scale of industrial Internet data will become larger and larger, and the data dimension will become higher and higher. How to efficiently use cluster analysis for industrial Internet big data mining is an urgent problem that needs to be solved. This paper proposes an improved differential evolution particle swarm algorithm for industrial Internet big data clustering analysis. Differential Evolution (DE) strategy can improve the problem that the particle swarm optimization (PSO) algorithm tends to fall into local optimum in the later stage as the number of iterations increases. Considering the influence of the randomness of the arrangement order of the cluster center vectors among the individuals on the learning and updating among individuals, this paper designs a method of adaptively adjusting the arrangement order of the cluster center vectors to optimize the cluster center vector with maximum similarity among individuals. In order to effectively evaluate our method, both industrial and non-industrial datasets are selected. The experimental results verify the feasibility and effectiveness of the proposed algorithm." @default.
- W4323361496 created "2023-03-08" @default.
- W4323361496 creator A5017541508 @default.
- W4323361496 creator A5036726873 @default.
- W4323361496 creator A5041880317 @default.
- W4323361496 date "2023-01-01" @default.
- W4323361496 modified "2023-09-26" @default.
- W4323361496 title "EVOLUTIONARY MACHINE LEARNING DRIVEN BIG DATA ANALYSIS AND PROCESSING FOR INDUSTRIAL INTERNET" @default.
- W4323361496 cites W1128809682 @default.
- W4323361496 cites W1571065133 @default.
- W4323361496 cites W1595159159 @default.
- W4323361496 cites W1993137812 @default.
- W4323361496 cites W1994219917 @default.
- W4323361496 cites W1995450389 @default.
- W4323361496 cites W2011430131 @default.
- W4323361496 cites W2060664354 @default.
- W4323361496 cites W2098252769 @default.
- W4323361496 cites W2117250519 @default.
- W4323361496 cites W2126741110 @default.
- W4323361496 cites W2153233077 @default.
- W4323361496 cites W2168408108 @default.
- W4323361496 cites W2443115782 @default.
- W4323361496 cites W2462044331 @default.
- W4323361496 cites W2474879900 @default.
- W4323361496 cites W2543580944 @default.
- W4323361496 cites W2618241468 @default.
- W4323361496 cites W2735620765 @default.
- W4323361496 cites W2759144750 @default.
- W4323361496 cites W2789511664 @default.
- W4323361496 cites W2789548662 @default.
- W4323361496 cites W2806337402 @default.
- W4323361496 cites W2883604340 @default.
- W4323361496 cites W2884662492 @default.
- W4323361496 cites W2963043340 @default.
- W4323361496 cites W2963481827 @default.
- W4323361496 cites W3118408813 @default.
- W4323361496 cites W3203644918 @default.
- W4323361496 doi "https://doi.org/10.1142/s0218348x2340100x" @default.
- W4323361496 hasPublicationYear "2023" @default.
- W4323361496 type Work @default.
- W4323361496 citedByCount "0" @default.
- W4323361496 crossrefType "journal-article" @default.
- W4323361496 hasAuthorship W4323361496A5017541508 @default.
- W4323361496 hasAuthorship W4323361496A5036726873 @default.
- W4323361496 hasAuthorship W4323361496A5041880317 @default.
- W4323361496 hasBestOaLocation W43233614961 @default.
- W4323361496 hasConcept C110875604 @default.
- W4323361496 hasConcept C119857082 @default.
- W4323361496 hasConcept C121332964 @default.
- W4323361496 hasConcept C124101348 @default.
- W4323361496 hasConcept C127413603 @default.
- W4323361496 hasConcept C136764020 @default.
- W4323361496 hasConcept C13736549 @default.
- W4323361496 hasConcept C153740404 @default.
- W4323361496 hasConcept C154945302 @default.
- W4323361496 hasConcept C164866538 @default.
- W4323361496 hasConcept C2778755073 @default.
- W4323361496 hasConcept C31258907 @default.
- W4323361496 hasConcept C41008148 @default.
- W4323361496 hasConcept C62520636 @default.
- W4323361496 hasConcept C73555534 @default.
- W4323361496 hasConcept C74750220 @default.
- W4323361496 hasConcept C75684735 @default.
- W4323361496 hasConcept C85617194 @default.
- W4323361496 hasConceptScore W4323361496C110875604 @default.
- W4323361496 hasConceptScore W4323361496C119857082 @default.
- W4323361496 hasConceptScore W4323361496C121332964 @default.
- W4323361496 hasConceptScore W4323361496C124101348 @default.
- W4323361496 hasConceptScore W4323361496C127413603 @default.
- W4323361496 hasConceptScore W4323361496C136764020 @default.
- W4323361496 hasConceptScore W4323361496C13736549 @default.
- W4323361496 hasConceptScore W4323361496C153740404 @default.
- W4323361496 hasConceptScore W4323361496C154945302 @default.
- W4323361496 hasConceptScore W4323361496C164866538 @default.
- W4323361496 hasConceptScore W4323361496C2778755073 @default.
- W4323361496 hasConceptScore W4323361496C31258907 @default.
- W4323361496 hasConceptScore W4323361496C41008148 @default.
- W4323361496 hasConceptScore W4323361496C62520636 @default.
- W4323361496 hasConceptScore W4323361496C73555534 @default.
- W4323361496 hasConceptScore W4323361496C74750220 @default.
- W4323361496 hasConceptScore W4323361496C75684735 @default.
- W4323361496 hasConceptScore W4323361496C85617194 @default.
- W4323361496 hasIssue "06" @default.
- W4323361496 hasLocation W43233614961 @default.
- W4323361496 hasOpenAccess W4323361496 @default.
- W4323361496 hasPrimaryLocation W43233614961 @default.
- W4323361496 hasRelatedWork W1517702840 @default.
- W4323361496 hasRelatedWork W1997217298 @default.
- W4323361496 hasRelatedWork W2056618769 @default.
- W4323361496 hasRelatedWork W2064883676 @default.
- W4323361496 hasRelatedWork W2137668693 @default.
- W4323361496 hasRelatedWork W2380798983 @default.
- W4323361496 hasRelatedWork W2553893857 @default.
- W4323361496 hasRelatedWork W2888523397 @default.
- W4323361496 hasRelatedWork W3157575077 @default.
- W4323361496 hasRelatedWork W79970639 @default.
- W4323361496 hasVolume "31" @default.
- W4323361496 isParatext "false" @default.
- W4323361496 isRetracted "false" @default.
- W4323361496 workType "article" @default.