𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A least squares model for fuzzy rules of inference

✍ Scribed by T.D. Pham; S. Valliappan


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
328 KB
Volume
64
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Multidimensional least-squares fitting w
✍ Ruoning Xu; Chulin Li πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 98 KB

The aim of this paper is to deal with the question of fuzzy multivariable linear regression by least squares. Similar to the traditional least-squares method, we develop a fuzzy analogue by a distance deΓΏned on a fuzzy number space, and propose a fuzzy multivariable linear regression model. It is sh

An orthogonal least-squares method for r
✍ Paris A. Mastorocostas; John B. Theocharis πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 411 KB

This paper presents an orthogonal least-squares (OLS)-based modeling method, named dynamic OLS (D-OLS), for generating recurrent fuzzy models. A dynamic-neuron-based fuzzy neural network is proposed, comprising generalized Takagi-Sugeno-Kang (TSK) fuzzy rules, whose consequent parts consist of dynam

Nonlinear least squares for model screen
✍ Reiji Mezaki; James R. Kittrell πŸ“‚ Article πŸ“… 1968 πŸ› American Institute of Chemical Engineers 🌐 English βš– 374 KB