通过线性回归和相似因子法比较人工神经网络和基于二元二项式的响应面法的预测能力。
The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.
试验表明，响应面法对太白贝母粗多糖提取条件的优化是可行的，可用于实际预测。
The results showed that the optimization process using response surface methodology was feasible. It can be used in practical forecasting.
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