An extension of the quadratic error function for learning imprecise data in multivariate nonlinear regression

DOI10.1155/2020/9187503OpenAlexW3046192329MaRDI QIDQ2004271

Kossi Essona Gneyou, Castro Gbêmêmali Hounmenou, Romain Glélé Kakaï

Publication date: 14 October 2020

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/9187503

Mathematics Subject Classification ID

Statistics (62-XX) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• R
• sn
• ElemStatLearn

Cites Work

• Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• The multivariate skew-normal distribution
• Principles of Artificial Neural Networks
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