Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1139670 | Mathematics and Computers in Simulation | 2012 | 8 Pages |
Abstract
In this paper, a generalized recurrent neural network is proposed for solving ϵ-insensitive support vector regression (ϵ-ISVR). The ϵ-ISVR is first formulated as a convex non-smooth programming problem, and then a generalize recurrent neural network with lower model complexity is designed for training the support vector machine. Furthermore, simulation results are given to demonstrate the effectiveness and performance of the proposed neural network.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Yan Zhao, Qingshan Liu,