Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69015
Title: A primal neural network for solving nonlinear equations and inequalities
Authors: Zhang, Y.
Ge, S.S. 
Keywords: Equations and inequalities
Minimum effort inverse kinematics
Nonuniqueness
Primal neural network
Issue Date: 2004
Source: Zhang, Y.,Ge, S.S. (2004). A primal neural network for solving nonlinear equations and inequalities. 2004 IEEE Conference on Cybernetics and Intelligent Systems : 1231-1236. ScholarBank@NUS Repository.
Abstract: In this paper, the concept and utility of primal neural networks are introduced for the context of dynamical constraints or inequalities. Based on the neural-network design experience on solving linear equations/inequalities, we generalize a primal neural network to handling the nonlinear situation. Numerical examples (including the robotic applications) are given to demonstrate the effectiveness of the primal network.
Source Title: 2004 IEEE Conference on Cybernetics and Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/69015
ISBN: 0780386442
Appears in Collections:Staff Publications

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