摘要
从收集的数据中获取知识一直是一个难点。符号智能和计算智能是模拟人类智能认知层次模型的两个方面 ,其中的模糊逻辑系统与神经计算是当代人工智能的重要发展趋向 ,神经计算通过目标系统的响应数据进行学习 ,模糊模型易于理解 ,它们的结合将优势互补。总结了石油勘探开发信息处理多专家系统的开发中 ,运用模糊神经网络模型获取知识的研究和实现。
It's difficulty to get the knowledge from the collected data, sign brainpower and computing brainpower are two sides to simulate cognizing levels model of human brainpower. Correspondence to it, the fuzzy logic system and the neural computing system are the important developing tend at present. The neural network learns with the response data of the objective system and the fuzzy model is prone to understand. All advantages will be impersonated with the combination of them. This paper sums up the research and realization about the knowledge getting with this model in the multi-ES of the information processing of the petroleum exploration and exploitation.
出处
《西南石油学院学报》
CSCD
2000年第3期98-100,共3页
Journal of Southwest Petroleum Institute
基金
国家 8 63计划项目! ( 863 -3 0 6-ZT0 4-0 3 -3 )
"油气藏地质及开发工程"国家重点实验室开放基金! (PLN9715 )
西南石油学院院项
关键词
神经网络
人工智能
模糊数学
石油勘探
nerve network, artificial intelligence, fuzzy mathematics
