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Li‐Chung Chao

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  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 (Januar 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 (März 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 (Juli 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 (März 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 (Juli 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 (Januar 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 (Dezember 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 (Februar 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 (März 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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