Evolving fuzzy modeling for MANETs using lightweight online unsupervised learning

International Journal of Wireless Information Networks

Volumn 17, Issue 1-2, 2010, Pages 34-41

  Lekova, Anna ^a  

^a BULGARIAN ACADEMY OF SCIENCES   (Bulgaria)

Author keywords

Data driven fuzzy models; Evolving systems; Knowledge and data integration; Mobile Ad hoc networks; Online evolving clustering; Unsupervised learning

Indexed keywords

CLUSTER VALIDITY; CLUSTERING PROCESS; CONSTRAINED RESOURCES; DATA INTEGRATION; DISTRIBUTED DATA; EVOLVING SYSTEMS; FUZZY CLUSTERING METHOD; FUZZY INFERENCE RULES; FUZZY MEMBERSHIP; FUZZY MODELING; FUZZY MODELS; INPUT DATAS; NON-INTRUSIVE; NUMBER OF CLUSTERS; ON-LINE ADAPTATION; ONE-PASS; ONLINE EVOLVING CLUSTERING; ONLINE MODELING; ONLINE UNSUPERVISED LEARNING; OPTIMAL NUMBER; REAL DATA SETS; STANDARD METHOD; STATISTICAL ANALYSIS; TRIAL-AND-ERROR METHOD;

CLUSTERING ALGORITHMS; FUZZY CLUSTERING; FUZZY INFERENCE; FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; MOBILE AD HOC NETWORKS; MOBILE DEVICES; ONLINE SYSTEMS; UNSUPERVISED LEARNING;

AD HOC NETWORKS;

EID: 77955767735     PISSN: 10689605     EISSN: 15728129     Source Type: Journal    
DOI: 10.1007/s10776-010-0114-0     Document Type: Article

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