Stability and Adaptation of Neural Networks
Annual technical rept. 1 Aug 1989-31 Jul 1990,
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES SIGNAL AND IMAGE PROCESSING INST
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Focused on unsupervised learning and adaptive fuzzy systems. Explored the differential competitive learning DCL law. We successfully benchmarked DCL against supervised competitive learning for phoneme recognition and centroid estimation. Proved structural stability for general competitive learning laws. Developed product-space clustering to develop adaptive fuzzy systems, which grow structured fuzzy rules from training data without supervision. Successfully benchmarked adaptive fuzzy systems against neural-network truck-and-trailer systems and Kalman-filter control systems for realtime target tracking.