Name
Abstract | ||
|---|---|---|
In this paper, an hybrid system is proposed for setting machining parameters from experimental data. A symbolic regression alpha-beta is used to build mathematical models. Every model is validated using statistical analysis then evolutionary computation is used to minimize or maximize the generated model. Symbolic regression @a-@b is used to build mathematical models by estimation of distribution algorithms. A practical case considering measured data of two machining process on three materials are used to illustrate the utility of the expert system because generates a set of parameters that improve the machining process. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.eswa.2013.06.051 | Expert Syst. Appl. |
Keywords | Field | DocType |
expert system,hybrid system,evolutionary computation,symbolic regression alpha-beta,mathematical model,machining parameter,distribution algorithm,experimental data,symbolic regression,machining process,expert systems | Data mining,Estimation of distribution algorithm,Experimental data,Computer science,Expert system,Evolutionary computation,Machining,Artificial intelligence,Mathematical model,Symbolic regression,Hybrid system,Machine learning | Journal |
Volume | Issue | ISSN |
40 | 17 | 0957-4174 |
Citations | PageRank | References |
3 | 0.44 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis M. Torres-Treviño | 1 | 26 | 11.49 |
| Indira G. Escamilla-Salazar | 2 | 3 | 0.44 |
| Bernardo González-Ortíz | 3 | 3 | 0.44 |
| Rolando J. Praga-Alejo | 4 | 22 | 4.50 |