@inproceedings{1ed1dca0902e4a77931b78352a1f66c6,
title = "The automatic feed control based on OBP neural network",
abstract = "It is the important technology to take the optimum control of automatic drilling in the course of oilfield drilling in accordance with actual situation. Due to the complexity of drilling process and the non-linear relationship between input and output of drilling system; it's difficult to acquire satisfied results to adopt general control method. This article presents a new control method which based on the OBP neural network. The OBP algorithm and the design of control system are elaborated in details in this paper. The automatic feed control method based on OBP neural network has applied successfully in Liaohe and Xinjiang oilfield. The result indicated that the control system is efficient and response, stability of the system, the control precision is improved. All the characters index arrive the control required.",
keywords = "Automatic feed control, Neural network, OBP neural network",
author = "Ding Feng and Bianyou Tan and Peng Wang and Shouyong Li and Jin Liu and Cheng Yang and Yongxin Yuan and Guanjun Xu",
year = "2010",
doi = "10.1007/978-3-642-13498-2\_31",
language = "English",
isbn = "3642134971",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "236--242",
booktitle = "Advances in Swarm Intelligence - First International Conference, ICSI 2010, Proceedings",
edition = "PART 2",
note = "1st International Conference on Advances in Swarm Intelligence, ICSI 2010 ; Conference date: 12-06-2010 Through 15-06-2010",
}