Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-92007-8_19 | ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2018 |
Keywords | Field | DocType |
Regression, Large margin, Nearest neighbor, Naphthalene sublimation | k-nearest neighbors algorithm,Regression,Pattern recognition,Computer science,Sublimation (phase transition),Support vector machine,Algorithms performance,Multilayer perceptron neural network,Artificial intelligence,Large margin nearest neighbor,Random forest | Conference |
Volume | ISSN | Citations |
519 | 1868-4238 | 1 |
PageRank | References | Authors |
0.36 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silvia Curteanu | 1 | 63 | 6.26 |
| Florin Leon | 2 | 71 | 15.03 |
| Andrei-Stefan Lupu | 3 | 1 | 0.36 |
| Sabina-Adriana Floria | 4 | 1 | 1.04 |
| Doina Logofatu | 5 | 17 | 16.74 |