✦ LIBER ✦

Empirically derived basis functions for unsupervised classification of radial profile data

✍ Scribed by D.G. Pretty; J. Vega; M.A. Ochando; F.L. Tabarés

Book ID: 108137223
Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 170 KB
Volume: 85
Category: Article
ISSN: 0920-3796
DOI: 10.1016/j.fusengdes.2010.01.020

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Radial Basis Function Neural Network (

A Radial Basis Function Neural Network (RBFNN) Approach for Structural Classification of Thyroid Diseases

✍ Rızvan Erol; Seyfettin Noyan Oğulata; Cenk Şahin; Z. Nazan Alparslan 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 167 KB

A Radial Basis Function Neural Network M

A Radial Basis Function Neural Network Model for Classification of Epilepsy Using EEG Signals

✍ Kezban Aslan; Hacer Bozdemir; Cenk Şahin; Seyfettin Noyan Oğulata; Rızvan Erol 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 151 KB

Generalized Radial Basis Function Networ

Generalized Radial Basis Function Networks Trained with Instance Based Learning for Data Mining of Symbolic Data

✍ Stergios Papadimitriou; Seferina Mavroudi; Liviu Vladutu; Anastasios Bezerianos 📂 Article 📅 2002 🏛 Springer US 🌐 English ⚖ 198 KB

Error estimates for interpolation of rou

Error estimates for interpolation of rough data using the scattered shifts of a radial basis function

✍ R. A. Brownlee 📂 Article 📅 2005 🏛 Springer US 🌐 English ⚖ 306 KB

Comparison of radial basis function netw

Comparison of radial basis function networks and empirical equations for converting from pan evaporation to reference evapotranspiration

✍ Slavisa Trajkovic 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 128 KB

## Abstract Evapotranspiration (ET) is one of the major processes in the hydrological cycle, and its reliable estimation is essential to water resources management. Numerous equations have been developed for estimating ET, most of which are complex and require numerous items of weather data. In man

Optimal design of radial basis function

Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data

✍ F. Behloul; B.P.F. Lelieveldt; A. Boudraa; J.H.C. Reiber 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 399 KB