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Adaptive Learning and Pruning Using Periodic Packet for Fast Invariance Extraction and Recognition |
| CHANG Sheng-Jiang;ZHANG Bian-Li;LIN Lie;XIONG Tao;SHEN Jin-Yuan |
| Institute of Modern Optics, Nankai University, Tianjin 300071
Key Laboratory of Opto-electronics Information Technical Science (Ministry of Education), Nankai University,
Tianjin 300071 |
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| Cite this article: |
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CHANG Sheng-Jiang, ZHANG Bian-Li, LIN Lie et al 2005 Chin. Phys. Lett. 22 295-297 |
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Abstract A new learning scheme using a periodic packet as the neuronal activation function is proposed for invariance extraction and recognition of handwritten digits. Simulation results show that the proposed network can extract the invariant feature effectively and improve both the convergence and the recognition rate.
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07.05.Tp
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Published: 01 February 2005
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| PACS: |
07.05.Tp
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(Computer modeling and simulation)
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07.05.Mh
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(Neural networks, fuzzy logic, artificial intelligence)
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84.35.+i
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(Neural networks)
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