The Option Methods Used in Cascaded Neural Network Model for Recognizing 3-D Targets

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Acta Optica Sinica >Volume 21 >Issue 1 >Page 49 > Article

Acta Optica Sinica
Vol. 21, Issue 1, 49 (2001)

The Option Methods Used in Cascaded Neural Network Model for Recognizing 3-D Targets

[in Chinese], [in Chinese], [in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. The Option Methods Used in Cascaded Neural Network Model for Recognizing 3-D Targets[J]. Acta Optica Sinica, 2001, 21(1): 49 Copy Citation Text

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References

[1] Hornik K, Combe M S, White H. Multilayer feedforward neural networks are universal approximators. Nural Networks, 1989, 2(3):359～366

[4] Zhang Y X, Huang W Q, Chen T L et al. A cascaded model of neural network for pattern recognition. Opt. Memories. & Neural Networks, 1992, 1(3):199～205

[6] Shen J Y, Zhang Y X, Mu G G. Optical pattern recognition system based on a Winner-Take-All model of a neuron network. Opt. Engng., 1993, 32(5):1053～1058

[8] Poggio T. A network that learns to recognize 3-D object. Lett. Nat., 1990, 343(18):2637

[9] Cheng S et al. Adaptive clipped model and its optical implementation. Optik, 1998, 107(4):135～140

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. The Option Methods Used in Cascaded Neural Network Model for Recognizing 3-D Targets[J]. Acta Optica Sinica, 2001, 21(1): 49

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