The Evolutionary Algorithm-Based Reasoning System(Special Issue on Function Integrated Information Systems)
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概要
- 論文の詳細を見る
In this paper, we propose the evolutionary algorithm-based reasoning system and its design methodology. In the proposed design methodology, reasoning rules behind the past cases in each task (in each case database) are extracted through genetic algorithms and are expressed as truth tables (we call them 'evolved truth tables').Circuits for the reasoning systems are synthesized from the evolved truth tables, Parallelism in each task can be embedded directly in the circuits by the hardware implementation of the evolved truth tables, so that the high speed resoning system with small or acceptable hardware size is achieved. We developed a prototype system using Xilinx Virtex FPGA chips and applied it to the gene boundary reasoning (GBR) and English pronunciation reasoning (ERP), which are very impotant practical tasks in the genome science and languge processing field, respectively. The GBR and the EPR prototype systems are evaluated in terms of the resoning accuracy, circuit size, and processing speed, and compared with the conventional approaches in the parallel AI and the artificial neural networks. Fault injection experiments are also carried out using the prototype system, and its high fault-tolerance, or graceful degradation against defective circuits that suits to the hardware implementation using wafer scale LSIs is demonstrated.
- 社団法人電子情報通信学会の論文
- 2001-11-01
著者
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Kim J
Kaist Taejon Kor
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YASUNAGA Moritoshi
Graduate School of Systems and Information Engineering, University of Tsukuba
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Yasunaga Moritoshi
Graduate School Of Systems And Information Engineering University Of Tsukuba
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Yasunaga Moritoshi
Institute Of Information Sciences And Electronics Tsukuba University
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Yasunaga Moritoshi
The Institute Of Information Sciences And Electronics University Of Tsukuba
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Kim Joon
School Of Engineering Information And Communications University (icu):electronics And Telecommunicat
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YOSHIHARA Ikuo
the Faculty of Engineering, Miyazaki University
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KIM Jung
the System Engineering Department, University of Arkansas at Little Rock
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