✦ LIBER ✦

Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems

✍ Scribed by Elanayar V.T., S.; Shin, Y.C.

Book ID: 118048250
Publisher: IEEE
Year: 1994
Tongue: English
Weight: 911 KB
Volume: 5
Category: Article
ISSN: 1045-9227
DOI: 10.1109/72.298229

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Structure selective updating for nonline

Structure selective updating for nonlinear models and radial basis function neural networks

✍ W. Luo; S. A. Billings 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 242 KB 👁 2 views

Selective model structure and parameter updating algorithms are introduced for both the online estimation of NARMAX models and training of radial basis function neural networks. Techniques for on-line model modification, which depend on the vector-shift properties of regression variables in linear m

Analysis of minimal radial basis functio

Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems

✍ Li, Y.; Sundararajan, N.; Saratchandran, P. 📂 Article 📅 2000 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 898 KB

Identification of time-varying nonlinear

Identification of time-varying nonlinear systems using minimal radial basis function neural networks

✍ Yingwei, L.; Sundararajan, N.; Saratchandran, P. 📂 Article 📅 1997 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 804 KB

Radial basis function neural network for

Radial basis function neural network for pulse radar detection

✍ Khairnar, D.G.; Merchant, S.N.; Desai, U.B. 📂 Article 📅 2007 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 730 KB

Radial basis function neural networks fo

Radial basis function neural networks for the characterization of heart rate variability dynamics

✍ A. Bezerianos; S. Papadimitriou; D. Alexopoulos 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 387 KB

Adaptive H∞ tracking control for a class

Adaptive H∞ tracking control for a class of uncertain nonlinear systems using radial-basis-function neural networks

✍ Yan-Sheng Yang; Xiao-Feng Wang 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 277 KB