✦ LIBER ✦

Nonlinear system identification using a Gabor/Hopfield network

✍ Scribed by Zhang, C.Q.; Sami Fadali, M.

Book ID: 117874228
Publisher: IEEE
Year: 1996
Tongue: English
Weight: 954 KB
Volume: 26
Category: Article
ISSN: 1083-4419
DOI: 10.1109/3477.484444

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

System identification based on NARMAX mo

System identification based on NARMAX model using Hopfield networks

✍ Hong-li Shi; Yuan-li Cai; Zu-lian Qiu 📂 Article 📅 2006 🏛 Chinese Electronic Periodical Services 🌐 English ⚖ 425 KB

Nonlinear system identification using op

Nonlinear system identification using optimized dynamic neural network

✍ W.F. Xie; Y.Q. Zhu; Z.Y. Zhao; Y.K. Wong 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 717 KB

Takagi–Sugeno Fuzzy Hopfield Neural Netw

Takagi–Sugeno Fuzzy Hopfield Neural Networks for({mathcal{H}_{infty}})Nonlinear System Identification

✍ Choon Ki Ahn 📂 Article 📅 2011 🏛 Springer US 🌐 English ⚖ 526 KB

Robust Adaptive Identification of Nonlin

Robust Adaptive Identification of Nonlinear System Using Neural Network

✍ Q. Song; W.J. Hu; Y.C. Soh 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 120 KB

System fusion in passive sensing using a

System fusion in passive sensing using a modified hopfield network

✍ Yu.V Shkvarko; Yu.S Shmaliy; R Jaime-Rivas; M Torres-Cisneros 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 255 KB

We address a new approach to the problem of improving the quality of remote-sensing images obtained with several passive systems, in which case we propose to exploit the idea of neural-network-based imaging system fusion. The fusion problem is stated and treated as an aggregate inverse problem of re

Hopfield Neural Networks for Parametric

Hopfield Neural Networks for Parametric Identification of Dynamical Systems

✍ Miguel Atencia; Gonzalo Joya; Francisco Sandoval 📂 Article 📅 2005 🏛 Springer US 🌐 English ⚖ 125 KB