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Optical Learning Neural Network Using a Selfoc Microlens Array for Pattern Recognition |
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| Authors: | Masahiko MORI Yoshio HAYASAKI Ichiroh TOHYAMA Toyohiko YATAGAI |
| Affiliation: | (1) Optical Information Section, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba, Ibaraki 305, Japan;(2) Photodynamics Research Center, The Institute of Physical and Chemical Laboratory, 19-1399 Koeji, Nagamachi, Aoba-ku, Sendai, Miyagi 980, Japan;(3) Institute of Applied Physics, University of Tsukuba, 1-1 Tennodai, Tsukuba, Ibaraki 305, Japan |
| Abstract: | An optical system for learning neural networks with a 2-D architecture was constructed using a Selfoc microlens array. Using this system, we achieved pattern recognition of typed alphabet characters detected directly with a CCD camera. The system learned 4 characters according to a random search algorithm in order to avoid the difficulties and the costs of calculations of learning signals, optical alignments and addressing to the device which display the weight tensors. |
| Keywords: | optical neural network two-dimensional architecture Selfoc lens microlens array pattern recognition random search algorithm |
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