Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system and ensemble random forest regression techniques-MedSci.cn

Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system and ensemble random forest regression techniques

Iqbal, M; Onyelowe, KC; Jalal, FE

Onyelowe, KC (corresponding author), Michael Okpara Univ Agric, Dept Civil Engn, Umudike, Nigeria.; Onyelowe, KC (corresponding author), Kampala Int Univ, Dept Civil & Mech Engn, Kampala, Uganda.

Abstract

Sugeno or Takagi-Sugeno-Kang (TSK) type fuzzy inference system ANFIS proposed by Jang and ensemble random forest (ERF) regression, an extension of boo......

Full Text Link

Links

内科

外科

专科科室

热点

按科室浏览

临床工具

科研工具

其他工具

科研数智化

真实世界研究解决方案

数字化学术传播解决方案

其它

Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system and ensemble random forest regression techniques

科室

工具

服务