The modeling method for fermentation process of arachidonic acid is studied preliminary, and on the basis of the test data under four of the temperatures, the model of fermentation process is setup.

对发酵法生产花生四烯酸的建模方法进行了初步研究，并基于四种温度下的试验数据，建立了发酵过程模型。

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With randomly generated data, the preliminary computational test shows that the large scale model which is close to real application size can be solved within reasonable time.

利用随机生成数据进行的模型试验表明，模型可以在较短的时间内求解较大规模的收益管理优化问题。

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Firstly, preliminary classification was made on the test data in order to save the useful information of the majority class as much as possible.

首先，对测试集进行初分类，以尽可能多地保留多数类的有用信息；其次，对于被初分类预测为少数类的样本进行再次分类，以有效地提高少数类的分类性能。

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