Support Vector Regression Based Indoor Location in IEEE 802.11 Environments
Table 1
Experimental parameters description.
Parameters name
Default value
Description
Training sample size
5000
The default size of the training sample is 5000, while the value is varied in the simulation to reveal the relation between the training sample size and the performance.
The number of APs
17
The default number of APs is 17, while the value is varied in the simulation to reveal the relation between the number of APs and performance.
Kernel function
RBF kernel
The default kernel function is RBF kernel, while different kernel functions are used in the simulation to reveal its impact on the performance.
The value of
8
The default value of is 8, while the value is varied in the simulation to reveal its impact on the performance.
0.9
The default value of is 0.9, while the value is varied in the simulation to reveal its impact on the performance.
4
The default value of is 4, while the value is varied in the simulation to reveal its impact on the performance.
