バイオメディカル・ファジィ・システム学会大会講演論文集
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
セッションID: B-2-5
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B-2-5 平面・球面自己組織化マップ(SSOM)法による各種判別データでのデータ要素間の有意度の算出(自己組織化マップ(1))
徳高 平蔵大北 正昭大木 誠大藪 又茂中野 正博
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Using the iris data of the benchmark, the significant degree of each component was calculated by the Spherical Self-Organizing-Maps (SSOM) method and then the usual Plane SOM. First of all the algorithm of the significant degree was constructed and then, the method was applied to the iris data. The result was compared with the multiple regression analytical results. The results are fur better than the multiple regression analytical method. The method was then applied to other several benchmark data. The result could be quite reasonable. Also, it was applied to the fatigue questionnaire data.

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