Soil's optimum water content for crop (sunflower) stages in different salty soil has been get by GA-ANN coupling model.

通过GA-ANN耦合模型的建立求解了不同含盐程度土壤中作物（油料向日葵）的适宜含水率。

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For solving the shortage of ANN, this paper introduces GA into it, USES the two operators alternately, thus accomplishes dominance complement of the two intellect optimization algorithms.

针对人工神经网络的不足，本研究将遗传算法引入神经网络，实现两种算法的优势互补。

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The optimum process parameters could be obtained using ANN model to describe relationships between process parameters and performance and GA to optimize process parameters.

说明用神经网络模型描述微囊制作参数与性能之间的关系，用遗传算法优化微囊制作工艺参数，能设计出性能最佳的微囊制作工艺参数。

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