Li‐Chung Chao
- Trend in Local Area Network Utilization. In: Journal of Management in Engineering (ASCE), v. 8, n. 1 (January 1992). (1992):
- Fuzzy Logic Model for Determining Minimum Overheads-Cum-Markup Rate. In: Journal of Construction Engineering and Management, v. 145, n. 4 (April 2019). (2019):
- Estimating Construction Productivity: Neural‐Network‐Based Approach. In: Journal of Computing in Civil Engineering, v. 8, n. 2 (April 1994). (1994):
- Evaluation of Advanced Construction Technology with AHP Method. In: Journal of Construction Engineering and Management, v. 118, n. 3 (September 1992). (1992):
- Neural Network Method of Estimating Construction Technology Acceptability. In: Journal of Construction Engineering and Management, v. 121, n. 1 (March 1995). (1995):
- Fuzzy Logic for Evaluating Alternative Construction Technology. In: Journal of Construction Engineering and Management, v. 124, n. 4 (July 1998). (1998):
- Estimating Project S-Curves Using Polynomial Function and Neural Networks. In: Journal of Construction Engineering and Management, v. 135, n. 3 (March 2009). (2009):
- Assessing Earth-Moving Operation Capacity by Neural Network-Based Simulation with Physical Factors. In: Computer-Aided Civil and Infrastructure Engineering, v. 16, n. 4 (July 2001). (2001):
- Fuzzy Logic Model for Determining Minimum Bid Markup. In: Computer-Aided Civil and Infrastructure Engineering, v. 22, n. 6 (August 2007). (2007):
- A Model for Updating Project S-curve by Using Neural Networks and Matching Progress. In: Automation in Construction, v. 19, n. 1 (January 2010). (2010):
- Fuzzy model for predicting project performance based on procurement experiences. In: Automation in Construction, v. 28 (December 2012). (2012):
- Predicting project progress via estimation of S-curve's key geometric feature values. In: Automation in Construction, v. 57 (September 2015). (2015):
- Risk‐minimizing approach to bid‐cutting limit determination. In: Construction Management and Economics, v. 25, n. 8 (August 2007). (2007):
- Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. In: Journal of Construction Engineering and Management, v. 144, n. 2 (February 2018). (2018):
- Estimating project overheads rate in bidding: DSS approach using neural networks. In: Construction Management and Economics, v. 28, n. 3 (March 2010). (2010):
- Optimizing the ultimate strength of precast reinforced concrete pipes in three-edge bearing tests. In: Structural Concrete, v. 19, n. 4 (August 2018). (2018):