Article ID Journal Published Year Pages File Type
1139670 Mathematics and Computers in Simulation 2012 8 Pages PDF
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
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