Temperature control of Ginjo sake mashing process by automatic fuzzy modeling using fuzzy neural networks

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

Computing, Computer Science, Knowledge Representation +11

Application of fuzzy control theory to the sake brewing process

Kaoru Oishi, Mitsunori Tominaga, Akitsugu Kawato et al. · Journal of Fermentation and Bioengineering · 1991 · 54 citations

Engineering, Food Science, Food Engineering +12

Automatic Fuzzy Modeling for Ginjo Sake Brewing Process using Fuzzy Neural Networks.

Taizo Hanai, Akemi Katayama, Hiroyuki Honda et al. · JOURNAL OF CHEMICAL ENGINEERING OF JAPAN · 1997 · 32 citations · Full text

Engineering, Agricultural Engineering, Food Science +13

Modeling of Total Evaluation Process of Ginjo sake Using a Fuzzy Neural Network

Taizo Hanai, Akihiro Kakamu, Hiroyuki Honda et al. · Transactions of the Society of Instrument and Control Engineers · 1996 · 22 citations · Full text

Agriculture, Food Science, Food Engineering +16

Analysis of the state characteristics of sake brewing with a neural network

Kaoru Oishi, Mitsunori Tominaga, Akitsugu Kawato et al. · Journal of Fermentation and Bioengineering · 1992 · 18 citations

Agriculture, Computer Science, Food Science +11