Radial basis function neural network algorithm for semi-active control of base-isolated structures-Reference-Cited by-同舟云学术

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Radial basis function neural network algorithm for semi-active control of base-isolated structures

Published:2017-02-03 Issue:10 Volume:24 Page:e1984
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct. Control Health Monit.

Author:

Krishnamoorthy Agrahara¹^ORCID,Bhat Shubha²,Bhasari Dattatreya³

Affiliation:

1. Department of Civil Engineering, Manipal Institute of Technology; Manipal University; Manipal 576104 Karnataka India

2. Department of Electronics and Communication Engineering; Moodlakatte Institute of Technology; Kundapura Karnataka India

3. Department of Civil Engineering; Jawaharlal Nehru National College of Engineering; Shivamogga Karnataka India

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference35 articles.

1. Recent Development and Application of Seismic Isolation and Energy Dissipation and Conditions for Their Correct Use

2. Bridge seismic response as a function of the Friction Pendulum System (FPS) modeling assumptions

3. A Simple Pendulum Technique for Achieving Seismic Isolation

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1. Seismic mitigation analysis of base-isolated structure with sliding magnetic bearings considering local-site conditions;Journal of Building Engineering;2024-08

2. A review on the Control Systems Developed for Earthquake Controlled Structures;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-07-02

3. Sliding Isolation Systems: Historical Review, Modeling Techniques, and the Contemporary Trends;Buildings;2022-11-16

4. The adolescent years of seismic risk assessment;Natural Hazards;2022-08-06

5. Output feedback-based adaptive fuzzy sliding mode control for seismic response reduction of base-isolated buildings;ISA Transactions;2021-07

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