Identification of nonlinear discrete systems using a new Hammerstein model with Volterra neural network
Author:
Funder
Ministry of Science and Technology, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07089-6.pdf
Reference36 articles.
1. Abbasi E, Ghatee M, Shiri ME (2013) FRAN and RBF-PSO as two components of a hyper framework to recognize protein folds. Comput Biol Med 43:1182–1191
2. Abrahamsson R, Kay SM, Stoica P (2007) Estimation of the parameters of a bilinear model with applications to submarine detection and system identification. Digital Signal Process 17:756–773
3. Ahn CK (2014) Receding horizon disturbance attenuation for Takagi–Sugeno fuzzy switched dynamic neural networks. Inf Sci 280:53–63
4. Amer M, Namaane A, M’Sirdi NK (2013) Optimization of hybrid renewable energy systems (HRES) using PSO for cost reduction. Energy Procedia 42:318–327
5. Casenave C (2011) Time-local formulation and identification of implicit Volterra models by use of diffusive representation. Automatica 47:2273–2278
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