Acta Optica Sinica, Volume. 16, Issue 10, 1497(1996)
Study on Binary Interconnection Weight ofa Cascaded Neural Network for Pattern Recognition System
In this paper, based on the increment algorithm, the clipping learning method and Monto Carlo algorithm were used in optimization of a cascaded neural network. As a result, binary interconnection weights were obtained. The error tolerance of the neural network was tested by non learning sets. Computer simulation indicated that the results were satisfactory.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Study on Binary Interconnection Weight ofa Cascaded Neural Network for Pattern Recognition System[J]. Acta Optica Sinica, 1996, 16(10): 1497