Memristive Chebyshev neural network and its applications in function approximation
type: Item
instance of: scholarly article
title: Memristive Chebyshev neural network and its applications in function approximation
zbMATH Open document ID: 1296.94180
author: Meitao Duan
author: Shukai Duan
author: Lidan Wang
published in: Mathematical Problems in Engineering
publication date: 2014-10-13T00:00:00Z
review text: Summary: A novel Chebyshev neural network combined with memristors is proposed to perform the function approximation. The relationship between memristive conductance and weight update is derived, and the model of a single-input memristive Chebyshev neural network is established. Corresponding BP algorithm and deriving algorithm are introduced to the memristive Chebyshev neural networks. Their advantages include less model complexity, easy convergence of the algorithm, and easy circuit implementation. Through the MATLAB simulation results, we verify the feasibility and effectiveness of the memristive Chebyshev neural networks.
Mathematics Subject Classification ID: 94C05
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 41A30
zbMATH DE Number: 6354299
describes a project that uses: Matlab
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 6354299