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Mathematical Problems in Engineering
Volume 2014, Article ID 517605, 5 pages
http://dx.doi.org/10.1155/2014/517605
Research Article

A PLS-Based Weighted Artificial Neural Network Approach for Alpha Radioactivity Prediction inside Contaminated Pipes

1Key Subject Laboratory of National Defense for Radioactive Waste and Environmental Security, Southwest University of Science and Technology, Mianyang 621000, China
2State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

Received 17 October 2013; Revised 26 February 2014; Accepted 28 February 2014; Published 23 March 2014

Academic Editor: Wei Bian

Copyright © 2014 Xianguo Tuo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xianguo Tuo, Mingzhe Liu, Lei Wang, Jianbo Yang, and Yi Cheng, “A PLS-Based Weighted Artificial Neural Network Approach for Alpha Radioactivity Prediction inside Contaminated Pipes,” Mathematical Problems in Engineering, vol. 2014, Article ID 517605, 5 pages, 2014. https://doi.org/10.1155/2014/517605.