한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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- Pages.1125-1128
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- 1993
The Learning of the Neural Network Using Hadamard Transform
- Katayama, Hiromu (Department of Electrical Engineering and Electronics Faculty of Engineering, Tottori University) ;
- Tsuruta, Shinchi (Department of Electrical Engineering and Electronics Faculty of Engineering, Tottori University) ;
- Nakao, Tomohiro (Department of Electrical Engineering and Electronics Faculty of Engineering, Tottori University) ;
- Harada, Hisamochi (Department of Electrical Engineering and Electronics Faculty of Engineering, Tottori University) ;
- Konishi, Ryosuke (Department of Electrical Engineering and Electronics Faculty of Engineering, Tottori University)
- 발행 : 1993.06.01
초록
We propose the new method about the neural-based pattern recognition by using Hadamard transform for the improvement of learning speed, stability and flexibility of network. We can obtain the spatial feature of pattern by Hadamard transformed pattern. We carried out an experiment to estimate the effect of Hadamard transform. We tried the learning of numeric patterns, and tried the pattern recognition with noisy pattern. As a result, the learning times of the network for the 'Hadamard' case is smaller than that of usual case. And the recognition rate of the network for the 'Hadamard' case is higher than that of usual case, too.