摘要
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。
In this paper,fuzzy comprehensive assessment is combined with Neural network. The weight of evaluation parameter in fuzzy comprehensive assessment is obtained with the self-learning function of Neural network. A case study of this method is given to prove its effectiveness.
出处
《地质科技情报》
CAS
CSCD
北大核心
1996年第2期89-94,共6页
Geological Science and Technology Information
关键词
储集层评价
模糊综合评判
权重
神经网络
reservoir evaluation
fuzzy comprehensive assessment
weight
self-learning
Neural network
