Selection of the modeling resolution of infrastructure

Author:

Nocera Fabrizio1,Gardoni Paolo1

Affiliation:

1. Department of Civil and Environmental, Engineering, MAE Center: Creating a Multi‐hazard Approach to Engineering University of Illinois at Urbana‐Champaign Urbana Illinois USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

Reference73 articles.

1. Neural Networks in Civil Engineering: 1989–2000

2. An adaptive conjugate gradient learning algorithm for efficient training of neural networks

3. Adey B. T. Hackl J. Lam J. C. Van Gelder P. Prak P. Van Erp N. Heitzler M. Iosifescu Enescu I. &Hurni L.(2016).Ensuring acceptable levels of infrastructure related risks due to natural hazards with emphasis on conducting stress tests.Proceedings of the 1st International Symposium on Infrastructure Asset Management (SIAM 2016) Kyoto Japan.

4. Visibility graph similarity: A new measure of generalized synchronization in coupled dynamic systems

5. New diagnostic EEG markers of the Alzheimer’s disease using visibility graph

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