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- W89413143 abstract "Plant control systems are characterized by complexity and uncertainty. This paper studies the application of an intelligent control technique, including neural networks and genetic algorithms, to the optimization of fruit storage process. Two optimization problems were considered. One is to maintain the water loss of fruits at its desired response by relative humidity. The other is to determine the setpoints of relative humidity which minimize the objective function F(h) consisted of the water loss and the degree of disease of fruits (h: relative humidity). In the system, F(h) as affected by relative humidity is first identified using neural networks and then the optimal setpoints of relative humidity are searched for through simulation of the identified model using genetic algorithms. This intelligent control technique was quite useful for the optimization of such complex systems as fruit storage process." @default.
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- W89413143 date "1995-06-01" @default.
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- W89413143 title "Optimization for Fruit Quality during a Storage Process" @default.
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- W89413143 doi "https://doi.org/10.1016/s1474-6670(17)47157-6" @default.
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