Name
Title | ||
|---|---|---|
'Symbiotic' data-driven modelling for the accurate prediction of mechanical properties of alloy steels |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IS.2010.5548323 | IEEE Conf. of Intelligent Systems |
Keywords | Field | DocType |
steel industry,least square,mathematical model,artificial neural networks,noise measurement,symbiosis,sparse data,component,yield strength,iterative methods,regression analysis,neural network model,linear regression,predictive models,prediction algorithms,tensile strength,neural networks,neural nets,data models,linear regression model | Least squares,Data modeling,Data-driven,Computer science,Iterative method,Algorithm,Artificial intelligence,Artificial neural network,Cluster analysis,Machine learning,Sparse matrix,Linear regression | Conference |
Citations | PageRank | References |
1 | 0.39 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sidahmed Gaffour | 1 | 2 | 0.75 |
| Mahdi Mahfouf | 2 | 235 | 33.17 |
| Y. Y. Yang | 3 | 8 | 1.98 |