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

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Number of pages1
Journalkagaku kogaku ronbunshu
Volume24
Issue number1
DOIs
Publication statusPublished - 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)

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