A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
Quantized kernel least mean square (QKLMS) is a simple yet efficient online learning algorithm, which reduces the computational cost significantly by quantizing the input space to constrain the growth of network size. The QKLMS considers only the input space compression and assumes that the desired outputs of the quantized data are equal to those of the closest centres. In many cases, however, the outputs in a neighbourhood may have big differences, especially when underlying system isdoi:10.1049/el.2015.1757 fatcat:guh3ih3yqzg7fmvni5ljvo532a