A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
On the basis of frontal advance theory, and combining experience regression method, a prediction model for predicting production and water cut changing law is established.
综合运用前缘推进理论和经验回归方法，建立起一种聚合物驱产量和含水率变化规律的预测模型。
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