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- W2356458334 abstract "A learning mechanism for parts recognition(LMPR) in a stereoscopic nuro vision system is presented. It differs from the mechanism used in the standard back propagation (SBP) neural network in two ways. First, the searching direction is changed from the negative gradient direction to the variable metric direction. Secondly, the constant learning rate is changed to a variable optimal learning rate. With the combination of variable metric direction and variable optimal learning rate, the speed of the training process is greatly improved and the convergence is assured. Application examples are presented. The results have indicated that the proposed LMPR is superior in comparison with the SBP in the areas of learning speed, convergence and stability." @default.
- W2356458334 created "2016-06-24" @default.
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- W2356458334 date "2000-01-01" @default.
- W2356458334 modified "2023-09-25" @default.
- W2356458334 title "Learning Mechanism for Parts Recognition in Stereoscopic Neuro-vision System" @default.
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