摘要
该文针对传统勘探方法不能准确预测剩余油气的问题,提出了基于模糊理论和自组织神经网络预测剩余油气的方法。利用模糊神经网络系统收敛较快,预测精度高的优势以及自组织神经网络无监督竞争式学习的机制,实现了对剩余油气的预测。神经网络的方法提高了预测精度,得到了较好预测的效果。
The paper is aimed at the problem of traditional exploration methods can not predict the remaining oil and gas accurately, the methods of fuzzy theory and self-organizing map are approached. It takes the advantage of Fuzzy neural network system converging faster and higher prediction accuracy, as well as the unsupervised competitive learning mechanism of self-organizing map,it achieves the goal of predicting the remaining oil and gas. The method of neural network improve the precision of remaining oiland gas, it obtains better effect of prediction.
出处
《电脑知识与技术》
2015年第3X期200-201,共2页
Computer Knowledge and Technology
关键词
神经网络
预测
剩余油气
模式识别
训练
neural network
predict
remaining oil and gas
pattern recognition
train