A novel nonlinear adaptive filter using a pipelined second-order Volterra recurrent neural network

DOI10.1016/J.NEUNET.2009.05.010zbMath1400.93309DBLPjournals/nn/ZhaoZ09OpenAlexW1992097793WikidataQ51820684 ScholiaQ51820684MaRDI QIDQ1784531

Jiashu Zhang, Haiquan Zhao

Publication date: 27 September 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.05.010

zbMATH Keywords

pipelined recurrent neural networkrecurrent neural networkadaptive Volterra filterpipelined architecturerecursive second-order Volterra filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Related Items (1)

Improving nonlinear modeling capabilities of functional link adaptive filters

Cites Work

• Robust stability for stochastic Hopfield neural networks with time delays
• \(H_\infty\) filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities
• Exponential stability of uncertain stochastic neural networks with mixed time-delays
• On Nonlinear $H_{\infty }$ Filtering for Discrete-Time Stochastic Systems With Missing Measurements
• Prediction of Chaotic Time Series Based on the Recurrent Predictor Neural Network
• Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN

This page was built for publication: A novel nonlinear adaptive filter using a pipelined second-order Volterra recurrent neural network