Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection

“…Wavelets have been developed as kernel function in SVMs (Wu, 2011;Calisir and Doganlekin, 2011;Zavar et al, 2011). It has been shown that wavelet kernel functions are superior to other kernel functions in the training of SVMs.…”

Section: Wavelet Kernel Theorymentioning

confidence: 99%

Optimal seismic design of reinforced concrete structures under time-history earthquake loads using an intelligent hybrid algorithm

Gharehbaghi¹,

Khatibinia

2015

Earthq. Eng. Eng. Vib.

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A reliable seismic-resistant design of structures is achieved in accordance with the seismic design codes by designing structures under seven or more pairs of earthquake records. Based on the recommendations of seismic design codes, the average time-history responses (ATHR) of structure is required. This paper focuses on the optimal seismic design of reinforced concrete (RC) structures against ten earthquake records using a hybrid of particle swarm optimization algorithm and an intelligent regression model (IRM). In order to reduce the computational time of optimization procedure due to the computational efforts of time-history analyses, IRM is proposed to accurately predict ATHR of structures. The proposed IRM consists of the combination of the subtractive algorithm (SA), K-means clustering approach and wavelet weighted least squares support vector machine (WWLS-SVM). To predict ATHR of structures, fi rst, the input-output samples of structures are classifi ed by SA and K-means clustering approach. Then, WWLS-SVM is trained with few samples and high accuracy for each cluster. 9-and 18-storey RC frames are designed optimally to illustrate the effectiveness and practicality of the proposed IRM. The numerical results demonstrate the effi ciency and computational advantages of IRM for optimal design of structures subjected to time-history earthquake loads.

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“…Wavelets as kernel functions have been introduced and developed in ANNs and SVMs (Seyedpoor et al 2009, Wu 2011, Calisir and Dogantekin 2011, Zavar et al 2011. It has been shown that wavelet kernel functions are superior to other kernel functions in the training of ANN and SVM.…”

Section: Proposed Metamodel Based On Wavelet Weighted Least Squares Smentioning

confidence: 99%

Reliability-based design optimization of reinforced concrete structures including soil–structure interaction using a discrete gravitational search algorithm and a proposed metamodel

Khatibinia

Salajegheh

et al. 2013

Engineering Optimization

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To cite this article: M. Khatibinia , E. Salajegheh , J. Salajegheh & M. J. Fadaee (2013) Reliability-based design optimization of reinforced concrete structures including soil-structure interaction using a discrete gravitational search algorithm and a proposed metamodel, Engineering Optimization, 45:A new discrete gravitational search algorithm (DGSA) and a metamodelling framework are introduced for reliability-based design optimization (RBDO) of reinforced concrete structures. The RBDO of structures with soil-structure interaction (SSI) effects is investigated in accordance with performance-based design. The proposed DGSA is based on the standard gravitational search algorithm (GSA) to optimize the structural cost under deterministic and probabilistic constraints. The Monte-Carlo simulation (MCS) method is considered as the most reliable method for estimating the probabilities of reliability. In order to reduce the computational time of MCS, the proposed metamodelling framework is employed to predict the responses of the SSI system in the RBDO procedure. The metamodel consists of a weighted least squares support vector machine (WLS-SVM) and a wavelet kernel function, which is called WWLS-SVM. Numerical results demonstrate the efficiency and computational advantages of DGSA and the proposed metamodel for RBDO of reinforced concrete structures.

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Evolutionary model selection in a wavelet-based support vector machine for automated seizure detection

Cited by 58 publications

References 17 publications

Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals

Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals

Optimal seismic design of reinforced concrete structures under time-history earthquake loads using an intelligent hybrid algorithm

Reliability-based design optimization of reinforced concrete structures including soil–structure interaction using a discrete gravitational search algorithm and a proposed metamodel

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