Neurofuzzy-Based Productivity Prediction Model for Horizontal Directional Drilling-Reference-Cited by-同舟云学术

Neurofuzzy-Based Productivity Prediction Model for Horizontal Directional Drilling

Published:2014-08 Issue:3 Volume:5 Page:04014004
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Zayed Tarek¹,Mahmoud Muhammad²

Affiliation:

1. Professor, Building, Civil, and Environmental Engineering Dept., Concordia Univ., Montreal, QC, Canada H3G 1M8 (corresponding author).

2. Former Graduate Student, Building, Civil, and Environment Engineering Dept., Concordia Univ., Montreal, QC, Canada H3G 1M8.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000167

Reference26 articles.

1. Performance Assessment of On-Grade Horizontal Directional Drilling

2. Adel M. and Zayed T. (2009). “Productivity analysis of horizontal directional drilling.” Proc. Int. Pipelines Conf.: Infrastructure’s Hidden Asset ASCE Reston VA.

3. Modeling the Effect of Subjective Factors on Productivity of Trenchless Technology Application to Buried Infrastructure Systems

4. Horizontal Directional Drilling: Profile of an Emerging Industry

5. Software for Planning and Cost Control in Directional Drilling Projects

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