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Modeling of pH response in continuous anaerobic acidogenesis by an artificial neural network

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title

Modeling of pH response in continuous anaerobic acidogenesis by an artificial neural network (English)

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main subject

artificial neural network

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Jun-ichi Horiuchi

1

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Shuntaro Kikuchi

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2

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Masayoshi Kobayashi

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3

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Tohru Kanno

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4

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Tatsuo Shimizu

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5

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publication date

December 2001

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published in

Biochemical Engineering Journal

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volume

9

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issue

3

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page(s)

199-204

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describes a project that uses

artificial neural network

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Dynamics of chemostat in which one microbial population grows on multiple complementary nutrients.

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A dynamic simulation of a two-phase anaerobic digestion system for solid wastes

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Knowledge-based design and operation of bioprocess systems

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Industrial application of fuzzy control to large-scale recombinant vitamin B2 production

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Neural network programming in bioprocess variable estimation and state prediction

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Construction of COD simulation model for activated sludge process by fuzzy neural network

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7 January 2021

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Learning representations by back-propagating errors

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10.1016/S1369-703X(01)00153-X

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(Q56949615)

Modeling of pH response in continuous anaerobic acidogenesis by an artificial neural network

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