针对实际水质评价问题，建立了渭河地面水环境质量综合评价的BP神经网络模型，并与单因子法、主成分分析法进行了分析比较。

Aimed at actual question of water quality assessment, the BP neural network model is established which synthetically assesses the surface water quality of the Wei river.

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方法采用单因素试验对可能影响体外释放的各因素进行考察，用相似因子法对释放曲线进行比较。

Similarity factor was used to evaluate the effect of all those influencing factors on release profiles of cefalexin.

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模糊矩阵法评价水质级别，比单因子评价法更真实地反映水体水质级别的具体归属。

In evaluating water quality, fuzzy matrix, compared with single factor way, can reflect more realistically the grade of water.

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