Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles

Hemn Unis Ahmed, Ahmed S. Mohammed, Rabar H. Faraj, Aso A. Abdalla, Shaker M. A. Qaidi, Nadhim Hamah Sor, Azad A. Mohammed. Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles. Neural Computing and Applications, 35(17):12453-12479, June 2023. [doi]

@article{AhmedMFAQSM23,
  title = {Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles},
  author = {Hemn Unis Ahmed and Ahmed S. Mohammed and Rabar H. Faraj and Aso A. Abdalla and Shaker M. A. Qaidi and Nadhim Hamah Sor and Azad A. Mohammed},
  year = {2023},
  month = {June},
  doi = {10.1007/s00521-023-08378-3},
  url = {https://doi.org/10.1007/s00521-023-08378-3},
  researchr = {https://researchr.org/publication/AhmedMFAQSM23},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {35},
  number = {17},
  pages = {12453-12479},
}