2006年
On self-organizing map based classification of insect neurons
TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4
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- 開始ページ
- 1204
- 終了ページ
- 1207
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- IEEE
In this paper, a systematic method based on selforganizing maps is presented to classify interneurons of silkworm moths. Denseness of branching structures and existence of thick main dendrites are quantified by six fractal dimension values and three values calculated from images to which fundamental processing techniques are applied, respectively. Such values are employed as nine elements in training data for a map. The classification result is obtained as clusters with units in the trained map. Experimental results establish that the classification executed by the proposed method is comparable in accuracy to the manually executed classification.
- リンク情報
- ID情報
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- ISSN : 0886-1420
- Web of Science ID : WOS:000246127502037