Abstract:
In this paper, we introduce a kind of method for solving least mean square problems based on the gradient neural network, including the network model construction, quanti...Show MoreMetadata
Abstract:
In this paper, we introduce a kind of method for solving least mean square problems based on the gradient neural network, including the network model construction, quantitative analysis of the network global convergence and the network convergence rate about the different activation functions. MATLAB simulation results and theoretical analysis results are accordingly consistent, which further confirm the method based on Hopfield neural network has a good effect on solving the least mean square problems.
Published in: 2012 8th International Conference on Natural Computation
Date of Conference: 29-31 May 2012
Date Added to IEEE Xplore: 09 July 2012
ISBN Information: