Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks

Gail A. Carpenter; Siegfried Martens; Ogi Ogas

doi:10.1016/j.neunet.2004.12.003

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Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks

Gail A. Carpenter Siegfried Martens Ogi Ogas

Year: 2005 Journal: Neural Networks Vol: 18 (3)Pages: 287-295 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2004.12.003

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Keywords:

Computer science Artificial intelligence Artificial neural network Class (philosophy) Domain (mathematical analysis) Exploit Machine learning Object (grammar) Sensor fusion Data mining Pattern recognition (psychology)

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks

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