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An evolutionary kernel-based reasoning system using reconfigurable VLSIs: its hardware prototyping and application to the splicing boundary problem

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6 Author(s)
Yasunaga, M. ; Inst. of Inf. Sci. & Electron., Univ. of Tsukuba, Japan ; Ushiyama, K. ; Aibe, N. ; Fujiwara, H.
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We propose a novel reasoning algorithm SKBR (symbolical kernel-bases reasoning) that is an extension of the conventional pattern recognition algorithm KB (kernel based method) to the symbolical recognition, or reasoning. We apply SKMR to the splicing boundary prediction problem in human and other species DNA data, and show a new rule extracted from the splice site boundary. We also develop a SKBR hardware system using FPGA and memory LSIs. Performance evaluation of the system shows its very short reasoning time of less than 100 micro-second/query

Published in:

Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on  (Volume:1 )

Date of Conference:

12-17 May 2002