Kuppusamy, Y.; Jayaseelan, R.; Pandulu, G.; Sathish Kumar, V.; Murali, G.; Dixit, S.; Vatin, N.I.
Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites. Materials 2022, 15, 3443.
https://doi.org/10.3390/ma15103443
AMA Style
Kuppusamy Y, Jayaseelan R, Pandulu G, Sathish Kumar V, Murali G, Dixit S, Vatin NI.
Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites. Materials. 2022; 15(10):3443.
https://doi.org/10.3390/ma15103443
Chicago/Turabian Style
Kuppusamy, Yaswanth, Revathy Jayaseelan, Gajalakshmi Pandulu, Veerappan Sathish Kumar, Gunasekaran Murali, Saurav Dixit, and Nikolai Ivanovich Vatin.
2022. "Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites" Materials 15, no. 10: 3443.
https://doi.org/10.3390/ma15103443
APA Style
Kuppusamy, Y., Jayaseelan, R., Pandulu, G., Sathish Kumar, V., Murali, G., Dixit, S., & Vatin, N. I.
(2022). Artificial Neural Network with a Cross-Validation Technique to Predict the Material Design of Eco-Friendly Engineered Geopolymer Composites. Materials, 15(10), 3443.
https://doi.org/10.3390/ma15103443