用前向神经网络，对纯物质的蒸气压和汽化热与温度的函数关系进行预测。
A feedforward neural network was used to predict functional relationship of temperature with steam pressure and heat of vaporization of the pure material.
给出了沿海与内地城镇及农村居民物质性消费与收入的恩格尔函数及其特征；
The Engel function has been presented on the income and material consumption of the inhabitants in coastal and inland areas, also in towns and rural.
通过受力情况和结构特性的分析，推导出了沉积物空隙率的函数表达式，在此基础上，给出沉积物质量与体积的换算关系。
It has deduced the mathematical function of the sediment void ratio on the basis of stress and structure analysis, and then the mass and volume conversion of deep bed filtration sediment is given.
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