detrital mineral data of230surface sediment samples in changjiang river(yangtze river)and huanghe(yellow river)deltas, and outer east china sea were analysed by bp artificial neural network.
对取自长江、黄河三角洲和东海230个表层沉积物样的重矿物资料进行人工神经网络分析。
the multi-element regression analysis can be used to quantitatively express and predict the controlling effect of detrital mineral combination over the porosity of sandstone reservoir.