RKHS最小值参数与RKPCA的比较研究

N. Souilem, I. Elaissi, H. Messaoud
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引用次数: 0

摘要

本文旨在比较用于描述非线性过程行为的两种RKHS模型。第一个模型来自于对学习集基数的最小值的估计,第二个模型来自于使用任意学习集基数构建的RKHS模型的复杂性降低。以非线性动力系统为基准,对两种模型进行了测试,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative study of minimal value parameters and RKPCA in RKHS
This paper aims to compare two RKHS models used for describing nonlinear process behaviour. The first model is issued from the estimation of the minimal value of the learning set cardinal and the second results from the complexity reduction of an RKHS model built using arbitrary learning set cardinal. Both models have been tested on non linear dynamic system used as a benchmark and the results were successful.
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