Art
J-GLOBAL ID：200902125656320388
Reference number：93A0337557
Application of Genetic Algorithm and Artificial Neural Network to the Optimal Control of Hydroponic System.
遺伝アルゴリズムおよび人工ニューラルネットワークを利用した水耕の最適制御法
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Author (3)：
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Material：
Volume：
31
Issue：
1
Page：
21-27
Publication year：
Mar. 1993
JST Material Number：
Z0802A
ISSN：
0582-4087
Document type：
Article
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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JST classification (1)：
JST classification
Category name(code) classified by JST.
Crop cultivation in general
Reference (14)：
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1) CHOTAI, A. and P. C. YOUNG. 1991. Self-adaptive and self-tuning control of a nutrient film technique (NFT) . Proc. IFAC/ISHS 1st Workshop on Mathematical and Control Applications in Agriculture and Horticulture: 33-39.
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2) MORIMOTO, T. and Y. HASHIMOTO. 1991. Application of fuzzy logic and neural network to the process control of solution pH in deep hydroponic culture. Proc. IFAC/ISHS 1st Workshop on Mathematical and Control Applications in Agriculture and Horticulture: 147-157.
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3) NONAMI, H., Y. HASHIMOTO, and J. S. BOYER. 1991. Environmental control for plant growth in plant factory operation and greenhouse management from physiological viewpoint. Proc. IFAC/ISHS 1st Work-shop on Mathematical and Control Applications in Agriculture and Horticulture: 125-130.
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4) HASHIMOTO, Y. 1991. Computer integrated plant growth factory for agriculture and horticulture. Proc. IFAC/ISHS 1st Workshop on Mathematical and Control Applications in Agriculture and Horticulture: 105-110.
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5) TANTAU, H.-J. 1991. Optimal control for plant production in greenhouse. IFAC/ISHS 1st Workshop on Mathematical and Control Applications in Agriculture and Horticulture: 1-5.
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