The corrosion of carbon steels in the oil field soil and its influencing factors were studied with artificial neural network technique.
利用人工神经网络技术对碳钢在油田现场土壤中的腐蚀进行了研究。
Starting from the full life cycle of the building, the article used AHP and BP neural network method to build the low-carbon architecture evaluation system.
从建筑的全生命周期出发，本文利用层次分析法(ahp)和BP神经网络法构建低碳建筑评价体系。
A neural network which utilized data from the infrared spectra, carbon-13 NMR spectra, and molecular formulas of organic compounds was developed.
神经网络的数据，利用红外光谱，碳13核磁共振谱，并分子式有机化合物是发达国家。
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