Modeling of sensory evaluation for interior tiles using a fuzzy neural network

Taizo Hanai, Hideki Noguchi, Hiroyuki Honda, Chiyo Takai, Takeshi Furuhashi, Yoshiki Uchikawa, Takeshi Kobayashi

研究成果: Contribution to journalArticle査読

2 被引用数 (Scopus)

抄録

In order to construct a novel design method for interior tiles the relationship between image words (sensory evaluation) and total evaluation for interior tiles was studied. At first the model for estimation of the total evaluation from image words was constructed using a fuzzy neural network (FNN) and MRA (multi regression analysis). The FNN model could estimate the total evaluation more correctly than the MRA model. Secondly a FNN model for the estimation of the total evaluation from analytical data for interior tiles was constructed. This model was less accurate than the FNN model from image words but could estimate within 10% errors. Lastly in order to improve accuracy of the estimation a FNN model for estimation of the total evaluation from both analytical data and image words was constructed. This model showed the highest accuracy among all modelsJyouhinna-gehinna" "shareta -yabona" among image words and "average value of green color" "arithmetical mean deviation" "peak count" among analytical data were needed to construct the model for estimation of the total evaluation.

本文言語英語
ページ数1
ジャーナルkagaku kogaku ronbunshu
24
1
DOI
出版ステータス出版済み - 1998
外部発表はい

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)

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