Publisher
Springer Science and Business Media LLC
Reference171 articles.
1. Abba, S. I., Usman, A. G., & Seli, I. (2020). Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach. Chemometrics and Intelligent Laboratory Systems, 201, 104007.
2. Abdullahi, H. U., Usman, A. G., & Abba, S. I. (2020). Modelling the absorbance of a bioactive compound in HPLC method using artificial neural network and multilinear regression methods. DUJOPAS, 6(2), 362–371.
3. Abyaneh, H. Z. (2014). Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters. Journal of Environmental Health Science and Engineering. https://doi.org/10.1186/2052-336X-12-40
4. Agatonovic-Kustrin, S., & Beresford, R. (2000). Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. Journal of Pharmaceutical and Biomedical Analysis, 22(5), 717–727.
5. Agbasi, J. C., & Egbueri, J. C. (2022). Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics and ANNs. Geocarto International. https://doi.org/10.1080/10106049.2022.2034990
Cited by
22 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献