Journal ArticleDOI
Vibration control of building structures using self-organizing and self-learning neural networks
TLDR
The present study shows that, in principle, the counter-propagation network (CPN) can learn from the control environment to compute the required control forces without the supervision of a teacher (unsupervised learning).About:
This article is published in Journal of Sound and Vibration.The article was published on 2005-11-04. It has received 69 citations till now. The article focuses on the topics: Artificial neural network & Unsupervised learning.read more
Citations
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Journal ArticleDOI
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review
TL;DR: The state-of-the-art review indicates to what extent ML has been applied in four topic areas of earthquake engineering, including seismic hazard analysis, system identification and damage detection, seismic fragility assessment, and structural control for earthquake mitigation.
Journal ArticleDOI
Vibration control of a structure with ATMD against earthquake using fuzzy logic controllers
Rahmi Guclu,Hakan Yazici +1 more
TL;DR: In this paper, the authors used fuzzy logic and PD controllers for a multi-degree-of-freedom structure with active tuned mass damper (ATMD) to suppress earthquake-induced vibrations.
Journal ArticleDOI
Smart structures: Part II — Hybrid control systems and control strategies
Nicholas Fisco,Hojjat Adeli +1 more
TL;DR: In this paper, the authors reviewed significant work done on active and semi-active vibration control of structures performed in the past decade or so, and reviewed improved or new control strategies developed for civil structures.
Journal ArticleDOI
Application of artificial neural networks to predict chemical desulfurization of Tabas coal
TL;DR: In this paper, a neural network model was proposed to predict the effects of operational parameters on the organic and inorganic sulfur removal from coal by sodium butoxide, which achieved quite satisfactory correlations of R 2 ǫ = 1 and 0.96 in training and testing stages for pyritic sulfur.
Journal ArticleDOI
Structural optimization with frequency constraints by genetic algorithm using wavelet radial basis function neural network
TL;DR: A combination of genetic algorithm and neural networks is proposed to find the optimal weight of structures subject to multiple natural frequency constraints and it is found that the best results are obtained by VSP method using WRBF network.
References
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Journal ArticleDOI
Self-organized formation of topologically correct feature maps
TL;DR: In this paper, the authors describe a self-organizing system in which the signal representations are automatically mapped onto a set of output responses in such a way that the responses acquire the same topological order as that of the primary events.
Book
Self Organization And Associative Memory
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.
Book
Artificial Neural Networks: Theory and Applications
TL;DR: This book introduces the newly emerging technology of artificial neural networks and demonstrates its use in intelligent manufacturing systems and presents some of the most promising current research in the design and training of artificial Neural networks with applications in speech and vision.