将反向传播人工神经网络(BP - ANN)用于邻苯二甲酸酯类化合物的光化学降解的预测中。
Back propagating artificial neutral net (BP-ANN) was applied to the forecasting of photochemical degradation of phthalates.
结果表明，对邻苯二甲酸酯类化合物而言，取代基的空间结构参数是影响受试物好氧生物降解性能的重要因素。
The result showed that the steric factors of substituents were important parameters affecting the aerobic biodegradability of the tested compounds.
结果表明，对邻苯二甲酸酯类化合物而言，取代基的空间结构参数是影响受试物好氧生物降解性能的重要因素。
The result showed that the steric factors of substituents were important parameters affecting the aerobic biodegradability of the tested compounds.
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