Name
Abstract | ||
|---|---|---|
In this paper five different model free input selection approaches are summarized. While all the criteria are based on geometrical properties of the data, it is possible to visualize most of the approaches in the here called 'Distance Space'. The five discussed approaches for input selection are interpreted and analyzed in the Distance Space scatter plot. The influence of noise and wrong chosen inputs to the Distance Space is outlined. With the chosen search strategy, the input space is changed. Afterward the best input combination is selected. Several dynamic systems are used to generate data sets, in order to compare the different approaches. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SSCI.2015.62 | 2015 IEEE Symposium Series on Computational Intelligence |
Keywords | Field | DocType |
distance space,model free input selection approach,data geometrical properties,distance space scatter plot,data set generation | Data set,Input selection,Algorithm,Theoretical computer science,Correlation,Distributed database,Dynamic priority scheduling,Mechatronics,Scatter plot,Mathematics,Dynamical system | Conference |
ISBN | Citations | PageRank |
978-1-4799-7560-0 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| tim oliver heinz | 1 | 0 | 0.34 |
| Oliver Nelles | 2 | 99 | 17.27 |