Evolutionary Deep Learning with Extended Kalman Filter for Effective Prediction Modeling and Efficient Data Assimilation-Reference-Cited by-同舟云学术

Evolutionary Deep Learning with Extended Kalman Filter for Effective Prediction Modeling and Efficient Data Assimilation

Published:2019-05 Issue:3 Volume:33 Page:04019014
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Li Qiao¹,Wu Zheng Yi²,Rahman Atiqur³

Affiliation:

1. Ph.D. Candidate, Electrical and Computer Engineering, Univ. of Denver, D2155 East Wesley Ave., Denver, CO 80208; formerly, Research Intern, Bentley Systems, Incorporated, 27 Siemon Company Dr., Watertown, CT 06795.

2. Bentley Fellow and Director Applied Research, Bentley Systems, Incorporated, 27 Siemon Company Dr., Watertown, CT 06795 (corresponding author).

3. Ph.D. Candidate, Computer Science Dept., College of William and Mary, 200 Stadium Dr, Williamsburg, VA 23185; formerly, Research Intern, Bentley Systems, Incorporated, 27 Siemon Company Dr., Watertown, CT 06795.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000835

Reference21 articles.

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2. Deep belief network based electricity load forecasting: An analysis of Macedonian case

3. Finding Structure in Time

4. A Fast Learning Algorithm for Deep Belief Nets

5. Damage detection of a highway bridge under severe temperature changes using extended Kalman filter trained neural network

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