December 10, 2019 article Concrete compressive strength using artificial neural networks Neural Computing and Applications DOI: 10.1007/s00521-019-04663-2 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 437 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access An extended multi-model regression approach for compressive strength prediction and optimization of a concrete mixture 2022 Construction and Building Materials article Engineering Concrete and Cement Materials Research 24 citations Predicting the Compressive Strength of a Ready-Mixed Concrete: An Extended Multi-model Regression Approach 2021 Lecture notes in networks and systems conference-paper Engineering Concrete and Cement Materials Research 0 citations 2 results References 0