Recognition of handwritten digits using a neural network based on the piecewise linear function

Hongyu Liu; Yialei Wang; Peimao Sun; Tianyun Zhang; Rong Jiang

doi:10.1117/12.182096

5 August 1994 Recognition of handwritten digits using a neural network based on the piecewise linear function

Hongyu Liu, Yialei Wang, Peimao Sun, Tianyun Zhang, Rong Jiang

Proceedings Volume 2321, Second International Conference on Optoelectronic Science and Engineering '94; (1994) https://doi.org/10.1117/12.182096
Event: Optoelectronic Science and Engineering '94: International Conference, 1994, Beijing, China

Abstract

In this paper, a practical method for building and training a neural network to recognize handwritten digits is presented. The learning speed of this algorithm is remarkably fast compared with that of the back-propagation algorithm. It also provides the network with the ability to adjust its configuration according to the complexity of a given problem. An optoelectronic setup is devised to implement this algorithm.

Citation Download Citation

Hongyu Liu, Yialei Wang, Peimao Sun, Tianyun Zhang, and Rong Jiang "Recognition of handwritten digits using a neural network based on the piecewise linear function", Proc. SPIE 2321, Second International Conference on Optoelectronic Science and Engineering '94, (5 August 1994); https://doi.org/10.1117/12.182096

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