✦ LIBER ✦

A radial basis function artificial neural network test for neglected nonlinearity

✍ Scribed by Andrew P. Blake; George Kapetanios

Book ID: 108513096
Publisher: John Wiley and Sons
Year: 2003
Tongue: English
Weight: 83 KB
Volume: 6
Category: Article
ISSN: 1368-4221
DOI: 10.1111/1368-423x.t01-1-00113

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Use of Radial Basis Function Type Artifi

Use of Radial Basis Function Type Artificial Neural Networks for Runoff Simulation

✍ A. W. Jayawardena; D. Achela K. Fernando 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 683 KB

Infinite dimensional radial basis functi

Infinite dimensional radial basis function neural networks for nonlinear transformations on function spaces

✍ Kemal Leblebicioglu; Ugur Halici 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 250 KB

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

Evolutionary -Gaussian radial basis func

Evolutionary -Gaussian radial basis function neural networks for multiclassification

✍ Francisco Fernández-Navarro; César Hervás-Martínez; P.A. Gutiérrez; M. Carbonero 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 564 KB

This paper proposes a radial basis function neural network (RBFNN), called the q-Gaussian RBFNN, that reproduces different radial basis functions (RBFs) by means of a real parameter q. The architecture, weights and node topology are learnt through a hybrid algorithm (HA). In order to test the overal

Radar target recognition using a radial

Radar target recognition using a radial basis function neural network

✍ Qun Zhao; Zheng Bao 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 925 KB

Output value-based initialization for ra

Output value-based initialization for radial basis function neural networks

✍ Alberto Guillén; Ignacio Rojas; Jesús González; Héctor Pomares; L. J. Herrera; O 📂 Article 📅 2007 🏛 Springer US 🌐 English ⚖ 570 KB