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Li‐Chung Chao

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Chang, Luh‐Maan / Chao, Li‐Chung (1992): Trend in Local Area Network Utilization. In: Journal of Management in Engineering (ASCE), v. 8, n. 1 (January 1992).

    https://doi.org/10.1061/(asce)9742-597x(1992)8:1(27)

  2. Chao, Li‐Chung / Liaw, Shinn-Jye (2019): Fuzzy Logic Model for Determining Minimum Overheads-Cum-Markup Rate. In: Journal of Construction Engineering and Management, v. 145, n. 4 (April 2019).

    https://doi.org/10.1061/(asce)co.1943-7862.0001632

  3. Chao, Li‐Chung / Skibniewski, Miroslaw J. (1994): Estimating Construction Productivity: Neural‐Network‐Based Approach. In: Journal of Computing in Civil Engineering, v. 8, n. 2 (April 1994).

    https://doi.org/10.1061/(asce)0887-3801(1994)8:2(234)

  4. Skibniewski, Miroslaw J. / Chao, Li‐Chung (1992): Evaluation of Advanced Construction Technology with AHP Method. In: Journal of Construction Engineering and Management, v. 118, n. 3 (September 1992).

    https://doi.org/10.1061/(asce)0733-9364(1992)118:3(577)

  5. Chao, Li‐Chung / Skibniewski, Miroslaw J. (1995): Neural Network Method of Estimating Construction Technology Acceptability. In: Journal of Construction Engineering and Management, v. 121, n. 1 (March 1995).

    https://doi.org/10.1061/(asce)0733-9364(1995)121:1(130)

  6. Chao, Li‐Chung / Skibniewski, Miroslaw J. (1998): Fuzzy Logic for Evaluating Alternative Construction Technology. In: Journal of Construction Engineering and Management, v. 124, n. 4 (July 1998).

    https://doi.org/10.1061/(asce)0733-9364(1998)124:4(297)

  7. Chao, Li‐Chung / Chien, Ching-Fa (2009): Estimating Project S-Curves Using Polynomial Function and Neural Networks. In: Journal of Construction Engineering and Management, v. 135, n. 3 (March 2009).

    https://doi.org/10.1061/(asce)0733-9364(2009)135:3(169)

  8. Chao, Li‐Chung (2001): 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).

    https://doi.org/10.1111/0885-9507.00233

  9. Chao, Li‐Chung (2007): Fuzzy Logic Model for Determining Minimum Bid Markup. In: Computer-Aided Civil and Infrastructure Engineering, v. 22, n. 6 (August 2007).

    https://doi.org/10.1111/j.1467-8667.2007.00500.x

  10. Chao, Li‐Chung / Chien, Ching-Fa (2010): A Model for Updating Project S-curve by Using Neural Networks and Matching Progress. In: Automation in Construction, v. 19, n. 1 (January 2010).

    https://doi.org/10.1016/j.autcon.2009.09.006

  11. Chao, Li‐Chung / Hsiao, Chih-Sheng (2012): Fuzzy model for predicting project performance based on procurement experiences. In: Automation in Construction, v. 28 (December 2012).

    https://doi.org/10.1016/j.autcon.2012.07.003

  12. Chao, Li‐Chung / Chen, Hsien-Tse (2015): Predicting project progress via estimation of S-curve's key geometric feature values. In: Automation in Construction, v. 57 (September 2015).

    https://doi.org/10.1016/j.autcon.2015.04.015

  13. Chao, Li‐Chung / Liou, Chang‐Nan (2007): Risk‐minimizing approach to bid‐cutting limit determination. In: Construction Management and Economics, v. 25, n. 8 (August 2007).

    https://doi.org/10.1080/01446190701393018

  14. Chao, Li‐Chung / Kuo, Chiang-Pin (2018): 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).

    https://doi.org/10.1061/(asce)co.1943-7862.0001440

  15. Chao, Li‐Chung (2010): Estimating project overheads rate in bidding: DSS approach using neural networks. In: Construction Management and Economics, v. 28, n. 3 (March 2010).

    https://doi.org/10.1080/01446190903473782

  16. Chao, Li‐Chung / Kuo, Chiang-Pin (2018): Optimizing the ultimate strength of precast reinforced concrete pipes in three-edge bearing tests. In: Structural Concrete, v. 19, n. 4 (August 2018).

    https://doi.org/10.1002/suco.201700143

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