An estimate of the number of samples to convergence for critic algorithms

被引：0
|
作者：
Hrycej, T [1 ]
机构：
[1] DaimlerChrysler AG, Res Ctr Ulm, D-89013 Ulm, Germany
来源：
IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III | 2000年
关键词：
D O I：
10.1109/IJCNN.2000.861308
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Simplified critic based neurocontrol algorithms are analyzed for expected number of samples to convergence. It is shown that there is a fundamental difference in the complexity behavior between the batch and the incremental algorithm, and between the algorithm using and not using an explicit plant model. The batch algoritm using plant model is superior to other variants.
引用
收藏
页码：227 / 232
页数：6
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