Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron

Other literature type, Article English OPEN
Hossein Moayedi; Dieu Tien Bui; Phuong Thao Thi Ngo;
  • Publisher: Multidisciplinary Digital Publishing Institute
  • Journal: Applied Sciences (issn: 2076-3417)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/app10020689
  • Subject: Chemistry | metaheuristic science | SFLA–multilayer perceptron (MLP) | QD1-999 | Engineering (General). Civil engineering (General) | Technology | soil shear strength | QH301-705.5 | soft computing | TA1-2040 | T | Physics | WDO–MLP | QC1-999 | Biology (General)

The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the purpose of soil shear strength (simply called sh... View more
Share - Bookmark