𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Interval type-2 fuzzy logic and modular neural networks for face recognition applications

✍ Scribed by Olivia Mendoza; Patricia Melín; Oscar Castillo

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
725 KB
Volume
9
Category
Article
ISSN
1568-4946

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Face recognition using modular neural ne
Face recognition using modular neural networks and the fuzzy Sugeno integral for response integration
✍ Patricia Melin; Cristina Felix; Oscar Castillo 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 547 KB

We describe a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We proposed a new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces. Also, the method for achieving respons

Interval type-2 fuzzy logic for edges de
Interval type-2 fuzzy logic for edges detection in digital images
✍ Olivia Mendoza; Patricia Melin; Guillermo Licea 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 776 KB

Edges detection in a digital image is the first step in an image recognition system. In this paper, we show an efficient edges detector using an interval type-2 fuzzy inference system (FIS-2). The FIS-2 uses as input the original images after applying Sobel filters and attenuation filters, then the

A fuzzy hybrid learning algorithm for ra
A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition
✍ Javad Haddadnia; Karim Faez; Majid Ahmadi 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 706 KB

This paper presents a fuzzy hybrid learning algorithm (FHLA) for the radial basis function neural network (RBFNN). The method determines the number of hidden neurons in the RBFNN structure by using cluster validity indices with majority rule while the characteristics of the hidden neurons are initia