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Seismic response data of a reinforced concrete structure subjected to 100 different levels of seismic excitation are utilized to study the structural damage pattern described by a well-known damage index, the maximum inter-story drift ratio (MISDR). Through a time-frequency analysis of the accelerograms, a set of seismic features is extracted. The aim of this study is to analyze the performance of three different techniques for the set of the proposed seismic features: an artificial neural network (ANN), a Mamdani-type fuzzy inference system (FIS), and a Sugeno-type FIS. The performance of the models is evaluated in terms of the mean square error (MSE) between the actual calculated and estimated MISDR values derived from the proposed models. All models provide small MSE values. Yet, the ANN model reveals a slightly better performance.<\/jats:p>","DOI":"10.1515\/jisys-2017-0193","type":"journal-article","created":{"date-parts":[[2018,2,27]],"date-time":"2018-02-27T05:49:09Z","timestamp":1519710549000},"page":"378-392","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent Systems for Structural Damage Assessment"],"prefix":"10.1515","volume":"29","author":[{"given":"Eleni","family":"Vrochidou","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering , Democritus University of Thrace , GR-67100 Xanthi , Greece , Tel.: +30 6947 181 886"}]},{"given":"Petros-Fotios","family":"Alvanitopoulos","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering , Democritus University of Thrace , GR-67100 Xanthi , Greece"}]},{"given":"Ioannis","family":"Andreadis","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering , Democritus University of Thrace , GR-67100 Xanthi , Greece"}]},{"given":"Anaxagoras","family":"Elenas","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering , Democritus University of Thrace , GR-67100 Xanthi , Greece"}]}],"member":"374","published-online":{"date-parts":[[2018,2,22]]},"reference":[{"key":"2025120523331646673_j_jisys-2017-0193_ref_001","doi-asserted-by":"crossref","unstructured":"I. 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