A study on the prediction of compressive strength of self-compacting recycled aggregate concrete utilizing novel computational approaches

HIGHLIGHTS

• who: Jesús de-Prado-Gil et al. from the Department of Applied Physics, Campus Vegazana s/n, University of León, León, Spain have published the research work: A Study on the Prediction of Compressive Strength of Self-Compacting Recycled Aggregate Concrete Utilizing Novel Computational Approaches, in the Journal: Materials 2022, 15, x FOR PEER REVIEW of /2022/
• what: This study compares Artificial Neural Network algorithm (LM) (BR) and_(SCGB)-to estimate the 28-day compressive strength (f'c) of SCC with RA. The aim of this study is to use artificial neural_networks . . .
  

   

  

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