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Artificial Intelligence Applications and Innovations 14th IFIP WG 12.5 International Conference, AIAI 2018 Rhodes, Greece, May 25–27, 2018 |
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Conference papers
An Evaluation of Regression Algorithms Performance for the Chemical Process of Naphthalene Sublimation
Abstract : Different regression algorithms are applied for predicting the sublimation rate of naphthalene in various working conditions: time, temperature, trainer rate and shape of the sample. The original Large Margin Nearest Neighbor Regression (LMNNR) algorithm is applied and its performance is compared to other well-established regression algorithms, such as support vector regression, multilayer perceptron neural networks, classical k-nearest neighbor, random forest, and others. The experimental results obtained show that the LMNNR algorithm provides better results than the other regression algorithms.
Cited literature [23 references]
https://hal.inria.fr/hal-01821058
Contributor : Hal Ifip <>
Submitted on : Friday, June 22, 2018 - 11:45:24 AM
Last modification on : Saturday, June 8, 2019 - 2:20:03 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 6:39:44 AM
Contributor : Hal Ifip <>
Submitted on : Friday, June 22, 2018 - 11:45:24 AM
Last modification on : Saturday, June 8, 2019 - 2:20:03 PM
Long-term archiving on: : Tuesday, September 25, 2018 - 6:39:44 AM
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