Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings.

Sri Preethaa, K R; Munisamy, Shyamala Devi; Rajendran, Aruna; Muthuramalingam, Akila; Natarajan, Yuvaraj; Yusuf Ali, Ahmed Abdi

Sri Preethaa, K R; Munisamy, Shyamala Devi; Rajendran, Aruna; Muthuramalingam, Akila; Natarajan, Yuvaraj; Yusuf Ali, Ahmed Abdi.

Afiliação

Sri Preethaa KR; Department of Robot and Smart System Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
Munisamy SD; Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore 641407, India.
Rajendran A; Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India.
Muthuramalingam A; Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India.
Natarajan Y; Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore 641407, India.
Yusuf Ali AA; Department of Robot and Smart System Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.

Sensors (Basel) ; 23(14)2023 Jul 16.

Article em En | MEDLINE | ID: mdl-37514735

Palavras-chave

ANOVA; DFCNN; PCA; activation; classifier; gradient descent; regularization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

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