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28 March 1995 Fuzzy neural network for the analysis of partially occluded objects
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Abstract
Based on curvature representation, a fuzzy Kohonen self-organizing feature mapping is combined with the fuzzy delta rule to recognize partially occluded objects. Because of learning and tolerant performance as well as fuzzy membership function, the fuzzy hybrid neural networks can recognize the objects with higher precision.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiling Wang, I. Barraco, M. Rovazzotti, F. Ravera, and S. DeSanctis "Fuzzy neural network for the analysis of partially occluded objects", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205258
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