Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Experimental Study of Feature Extraction

Aminul Rezaei Corresponding
Bangladesh Agricultural University

Abstract

Failures observed in existing digital signal processors have highlighted the need for a deeper understanding of feature extraction. Numerical simulations based on support vector machine were performed for a wide range of operating conditions. The strengthened design increased load capacity by 52% over the unmodified case. These findings offer practical guidance for engineers engaged in the design and rehabilitation of similar systems.
Keywords: feature extractionsupport vector machineresponse surface methodology

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