摘要
基于前馈神经网络模型发展了一种全新的油气层识别技术，并提出了一种改进的ＢＰ算法．利用该算法，可对所获取的录井气测资料进行精度高、速度快的油层、气层、水层的自动识别．
In this paper a new recognition technigue of oil-gas is developed,which is based on a feed-forward neural network model,and a changing algorithm is introduced.A trial for actual data has been performed to recognize oil-gas and water with this algorithm,which has a high accuracy of recognition and a high speed of training.
出处
《华东交通大学学报》
1996年第2期16-19,共4页
Journal of East China Jiaotong University
关键词
神经网络
油气层识别
BP算法
Artificial neural network
Oil-gas recognition
BP algorithm
