Name
Title | ||
|---|---|---|
Integrating artificial intelligent techniques and continuous time simulation modelling. Practical predictive analytics for energy efficiency and failure detection. |
Abstract | ||
|---|---|---|
•Foster the use of ANN when predicting performance and reliability.•Dynamic simulation models can improve capabilities of ANN models.•Direct search techniques together with backpropagation improve ANN.•Vensim code provided allow researchers to experiment with the model. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compind.2019.103164 | Computers in Industry |
Keywords | Field | DocType |
Artificial intelligence,Dynamic,Simulation,Reliability,Maintenance,Energy prediction | Adaptability,Program optimization,Predictive analytics,Efficient energy use,Artificial intelligence,Predictive modelling,Engineering,Artificial neural network,Backpropagation,Preventive maintenance | Journal |
Volume | ISSN | Citations |
115 | 0166-3615 | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adolfo Crespo Márquez | 1 | 1 | 0.36 |
| Adolfo Crespo Marquez | 2 | 181 | 19.25 |
| Juan Francisco Gómez Fernández | 3 | 1 | 0.36 |