Description
This data set is from a simulation of a servo system
involving a servo amplifier, a motor, a lead screw/nut, and a
sliding carriage of some sort. It may have been on of the
translational axes of a robot on the 9th floor of the AI lab. In any
case, the output value is almost certainly a rise time, or the time
required for the system to respond to a step change in a position
set point. The variables that describe the data set and their values
are the following:
cll{
[,1] Motor A,B,C,D,E
[,2] Screw A,B,C,D,E
[,3] Pgain 3,4,5,6
[,4] Vgain 1,2,3,4,5
[,5] Class 0.13 to 7.10
}format
A data frame with 167 observations on 5 variables, 4 nominal and
1 as the target class.source
- Creator: Karl Ulrich (MIT) in 1986
- Donor: Ross Quinlan
These data have been taken from the UCI Repository Of Machine Learning
Databases at
- ftp.ics.uci.edu://pub/machine-learning-databases
- http://www.ics.uci.edu/mlearn/MLRepository.html
and were converted to R format by Evgenia.Dimitriadou@ci.tuwien.ac.at.References
1. Quinlan, J.R., "Learning with continuous classes", Proc. 5th
Australian Joint Conference on AI (eds A. Adams and L. Sterling),
Singapore: World Scientific, 1992
2. Quinlan, J.R., "Combining instance-based and model-based
learning", Proc. ML'93 (ed P.E. Utgoff), San Mateo: Morgan Kaufmann 1993