The Kernel-Based Pattern Recognition System Designed by Genetic Algorithms(Special Issue on Function Integrated Information Systems)

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概要

• 論文の詳細を見る

• We propose the kernel-based pattern recognition hardware and its design methodology using the genetic algorithm. In the proposed design methodology, pattern data are transformed into the truth tables and the truth tables are evolved to represent kernels in the discrimination functions for pattern recognition. The evolved truth tables are then synthesized to logic circuits. Because of this data direct implementation approach, no floating point numerical circuits are required and the intrinsic parallelism in the pattern data set is embedded into the circuits. Consequently, high speed recognition systems can be realized with acceptable small circuit size. We have applied this methodology to the image recognition and the sonar spectrum recognition tasks, and implemented them onto the newly developed FPGA-based reconfigurable pattern recognition board. The developed system demonstrates higher recognition accuracy and much faster processing speed than the conventional approaches.

• 社団法人電子情報通信学会の論文
• 2001-11-01

著者

• Kim J

  Kaist Taejon Kor

• YASUNAGA Moritoshi

  Graduate School of Systems and Information Engineering, University of Tsukuba

• Yasunaga Moritoshi

  Graduate School Of Systems And Information Engineering University Of Tsukuba

• Yasunaga Moritoshi

  Institute Of Information Sciences And Electronics Tsukuba University

• Yasunaga Moritoshi

  The Institute Of Information Sciences And Electronics University Of Tsukuba

• Kim Joon

  School Of Engineering Information And Communications University (icu):electronics And Telecommunicat

• Nakamura T

  Fujitsr Ltd. Akiruno-shi Jpn

• NAKAMURA Taro

  the Internet Systems Platform Devision, Hitachi Ltd.

• YOSHIHARA Ikuo

  the Faculty of Engineering, Miyazaki University

• KIM Jung

  the System Engineering Department, University of Arkansas at Little Rock

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