...给定的生态环境质量评价等级标准,采用随机技术模拟生成足够数量的评价指标序列,应用人工神经网络模型(artificial neural network,ANN),以评价指标生成序列与其所属的评价等级值进行网络训练.
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采用人工神经网络模型研究信用风险评估问题。
This paper investigate the problem of credit risk assessment using an artificial neural networks model.
对典型区域—甘井子区采用人工神经网络模型法建立了地下水可开采量的计算模型。
In Gangjingzi district, the typical area, the calculation model of allowable groundwater exploitation is built by the method of artificial neural network.
目的用人工神经网络模型定量的预测HPMC的量和其固有黏度对药物释放的影响。
Objective To use ANN to quantitatively predict the influence of the amount of HPMC and its internal viscosity on allopurinol release from HPMC sustained release tablets.
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