Quantitative structure–activity relationship model for prediction study of corrosion inhibition efficiency using two-stage sparse multiple linear regression

• 主要な著者: Al-Fakih, A. M., Algamal, Z. Y., Lee, M. H., Abdallah, H. H., Maarof, H., Aziz, M.
• フォーマット: 論文
• 出版事項: John Wiley and Sons Ltd 2016
• 主題: QD Chemistry
• オンライン･アクセス: http://eprints.utm.my/id/eprint/72360/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973561921&doi=10.1002%2fcem.2800&partnerID=40&md5=d4df822e958e087cc5083b5bb1ec3109

A new quantitative structure–activity relationship (QSAR) of the inhibition of mild steel corrosion in 1 M hydrochloric acid using furan derivatives was developed by proposing two-stage sparse multiple linear regression. The sparse multiple linear regression using ridge penalty and sparse multiple l...