| 摘要 |
PROBLEM TO BE SOLVED: To shorten a processing time necessary for the setting of a data set for learning without deteriorating precision. SOLUTION: An accuracy arithmetic part 60 of a signal processing part 6 calculates the total sum of complicatedness for each selection data set created by a featured value extraction part 2, and a data creation part 61 selects two selection data sets from the selection data sets for which the total sum of complicatedness has been calculated by using genetic algorithm, and generates a new selection data set by carrying out crossing processing to the selected selection data set, or performing mutation processing by a preset probability. Afterward, the accuracy arithmetic part 60 calculates the total sum of complicatedness for each new selection data. When all generations are ended, a learning data set setting part 62 rearranges the selection data sets in the order of the small total sum of complicatedness, that is, in the order of high adaptability, and sets the selection data set whose adaptability is the highest as a data set for learning. COPYRIGHT: (C)2009,JPO&INPIT
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