An intelligent oil reservoir identification approach by deploying quantum Levenberg-Marquardt neural network and rough set Online publication date: Wed, 18-Mar-2015
by Nanping Liu, Fei Zheng, Kewen Xia
International Journal of Computational Science and Engineering (IJCSE), Vol. 6, No. 1/2, 2011
Abstract: An intelligent identification approach combining the features of parallel computation of quantum Levenberg-Marquardt neural network (Q-LM-NN) and information reduct of rough set is proposed as an improved alternative to common statistical identification methods and single-intelligent-based methods which are unable to attain satisfactory result in engineering applications. This approach has been tested to have better performance on reducing the cost and improving the identification accuracy than other methods in practical oil log applications.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com