𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model

✍ Scribed by Ciavolino, Enrico; Calcagnì, Antonio

Book ID
121599166
Publisher
Springer Netherlands
Year
2013
Tongue
English
Weight
284 KB
Volume
48
Category
Article
ISSN
0033-5177

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Ridge estimation for regression models w
Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output
✍ Dug Hun Hong; Changha Hwang; Chulhwan Ahn 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 244 KB

This paper deals with ridge estimation of fuzzy multiple linear and nonlinear regression models with crisp inputs and Gaussian fuzzy output. Using ridge regression learning algorithm in the Lagrangian dual space, we describe a ridge estimation of fuzzy multiple linear regression model of Xu and Li (