✦ LIBER ✦

Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network

✍ Scribed by Yeung, D.S.; Ng, W.W.Y.; Defeng Wang; Tsang, E.C.C.; Xi-Zhao Wang

Book ID: 115538075
Publisher: IEEE
Year: 2007
Tongue: English
Weight: 853 KB
Volume: 18
Category: Article
ISSN: 1045-9227
DOI: 10.1109/tnn.2007.894058

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

A hybrid neural network model for rule g

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis

✍ S.C. Tan; C.P. Lim; M.V.C. Rao 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 265 KB