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。
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。
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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