A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

• Main Authors: Ghaleini, Ebrahim Noroozi, Koopialipoor, Mohammadreza, Momenzadeh, Mohammadreza, Sarafraz, Mehdi Esfandi, Mohamad, Edy Tonnizam, Gordan, Behrouz
• Format: Article
• Published: Springer London 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/88011/; http://dx.doi.org/10.1007/s00366-018-0625-3

This paper presents intelligent models for solving problems related to retaining walls in geotechnics. To do this, safety factors of 2800 retaining walls were modeled and recorded considering different effective parameters of retaining walls (RWs), i.e., height of the wall, wall thickness, friction...