𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Direct control with radial basis function networks: Stability analysis and applications

✍ Scribed by J. Fernández de Cañete; A. García-Cerezo; I. García-Moral


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
918 KB
Volume
44
Category
Article
ISSN
1383-7621

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Control of robots using radial basis fun
✍ Abraham K. Ishihara; Johan van Doornik; Shahar Ben-Menahem 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 334 KB 👁 1 views

## Abstract In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an __error minimizing dead‐zone__ in the learning

Reformulated radial basis function neura
✍ Mary M. Randolph-Gips; Nicolaos B. Karayiannis 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 201 KB

This article presents a new family of reformulated radial basis function (RBF) neural networks that employ adjustable weighted norms to measure the distance between the training vectors and the centers of the radial basis functions. The reformulated RBF model introduced in this article incorporates

Financial distress prediction by a radia
✍ Chi-Bin Cheng; Ching-Lung Chen; Chung-Jen Fu 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 778 KB

This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RB