作者：
SUTO, YHAYASHI, YMedical Equipment Division
Toshiba Corporation Kawasaki 213 Japanwas born in Japan in July 193 He received M.S. and Ph.D. degrees in administration engineering from Keio University
Yokohama Japan in 197 and 1977
respectively. From 196 to 1978
he was with the Electronic Computer Division Toshiba Corporation Tokyo Japan engaged in the development of computer application software. He is currently with the Medical Equipment Division Toshiba Corporation and is concerned with nuclear medical data processing. Dr. Suto is a member of the Japan Society of Medical Electronics and Biological Engineering the Japan Society of Ergonomics and the Information Processing Society of Japan.YoshioFaculty of Engineering Keio University Yokohama 223 Japan was born in Tokyo
Japan in September 192 He received M.D. and Ph.D. degrees from Keio University
Tokyo Japan in 1960 and 1967 respectively. From 195 to 1965
he was associated with the school of Medicine Keio University. He is currently a Professor in the Department of Administration Engineering Keio University. He has been concerned with human engineering system engineering and bioengineering and is presently engaged in research in the areas of pattern recognition. Dr. Hayashi is a member of the Japan Society of Ergonomics the Operations Research Society of Japan and the Society of Instrument and Control Engineers of Japan.
A pattern recognition system is divided into two parts, a receptor and a categorizer. In this research, a creative receptor is designed, and then an effective pattern recognition system based on the receptor is consti...
详细信息
A pattern recognition system is divided into two parts, a receptor and a categorizer. In this research, a creative receptor is designed, and then an effective pattern recognition system based on the receptor is constituted. The receptor is composed of a set of unique matrix operators which allow it to perform efficient feature measurement extraction. The feature measurements are ranked in effective order, based on another function of the receptor. For the categorizer, a well-known optimization theory is applied. To evaluate the performance of this system, some evaluation functions are defined. Therefore, the receptor mechanism is optimized by the functions. This system is experimentally evaluated by computer simulations.
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