建立了高炉炉缸传热的数学模型，这一模型可精确地分析热流强度与炉墙及渣皮厚度之间的定量关系。
It has been applied to the quantitative analysis of the relationships between the heat flow strength and the thicknesses of hearth wall and slag skull.
结合量化噪声的影响，可定量计算影响信噪比各因素之间的关系。
Taking into account the quantization noise, an approximate formula of the relationship between SNR and other factors is obtained in time domain.
四参数的定量构效关系显著性较好，神经网络模式识别总识别率为98%，可较精确地预测化合物的抗癌活性。
The BP artificial neural network pattern recognition has a 98% accuracy, which may predict the activities of taxol analogues.
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