Determination of the blending ratio of regular coffee samples by information technology

Osamu Tominaga, Fumio Ito, Taizo Hanai, Hiroyuki Honda, Takeshi Kobayashi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


A searching method for the blending ratio of regular coffee with a designed flavor and taste has been developed. A fuzzy neural network (FNN) model was at first constructed for estimation of the sensory scores of various blending ratios. Using the model, the following four methods were attempted in order to estimate the blending ratio with the designed sensory score: 1) an exhaustive search, 2) a method using a genetic algorithm (GA), 3) a method using the GA combined with a reliability index (RIGA), and 4) a reverse FNN model. Among the results of these methods, the RIGA showed a good performance not only on estimation of the known blending ratio but also on the actual blending test in the present study.

Original languageEnglish
Pages (from-to)137-143
Number of pages7
Issue number2
Publication statusPublished - Feb 2002
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering


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