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将模糊综合评判方法与神经网络技术相结合,利用神经网络的自学习功能来获取模糊综合评判中评价参数的权重,并通过实际储层质量评价验证了这种方法的有效性。
Combining the fuzzy comprehensive evaluation method and the neural network technology, the self-learning function of the neural network is used to obtain the weight of the evaluation parameters in the fuzzy comprehensive evaluation. The effectiveness of this method is verified by the actual reservoir quality evaluation.