Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to geophysical prospecting

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 160-165

  Valdés, Julio J ^a   Romero, Enrique ^b   González, Ruben ^b  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CANNING; DATA VISUALIZATION; DECISION SUPPORT SYSTEMS; FUZZY SETS; GEOPHYSICAL PROSPECTING; GEOPHYSICS; GRID COMPUTING; IMAGE CLASSIFICATION; INFORMATION MANAGEMENT; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; MEMBERSHIP FUNCTIONS; ROUGH SET THEORY; SEARCH ENGINES; SET THEORY; STRUCTURAL GEOLOGY; VEGETATION; VIRTUAL REALITY;

FUZZY CLASSES; FUZZY MEMBERSHIP FUNCTION; HIGH-QUALITY; JOINT CONFERENCE; KNOWLEDGE VISUALIZATION; NEURAL NETWORK PARAMETERS; PRODUCTION RULES; ROUGH SETS; STRUCTURE-PRESERVING; SYMBOLIC KNOWLEDGE; UNKNOWN OBJECTS; VIRTUAL SPACES; VIRTUAL WORLDS; VISUAL DATA MINING; VISUAL REPRESENTATIONS;

NEURAL NETWORKS;

EID: 51949117118     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4370948     Document Type: Conference Paper

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