✦ LIBER ✦

A neural fuzzy framework for system mapping applications

✍ Scribed by Jie Liu; Wilson Wang; Farid Golnaraghi; Eric Kubica

Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 497 KB
Volume: 23
Category: Article
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2010.04.001

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A self-constructing compensatory neural

A self-constructing compensatory neural fuzzy system and its applications

✍ Cheng-Jian Lin; Cheng-Hung Chen 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 650 KB

Neural net — Fuzzy logic rules mapping f

Neural net — Fuzzy logic rules mapping for dynamic of fuzzy sets boundaries

✍ Daniel Ligas; Adel Ali 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 331 KB

Fuzzy cognitive mapping: Applications in

Fuzzy cognitive mapping: Applications in education

✍ Jason R. Cole; Kay A. Persichitte 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 376 KB

Fostering conceptual and cognitive change in learners can be difficult. Students often come to a learning situation with robust, implicit understandings of the material under study. One explanation for the implicit nature of these understandings is a lack of metaknowledge about the knowledge to be a

Implementing fuzzy logic controllers usi

Implementing fuzzy logic controllers using a neural network framework

✍ Ronald R. Yager 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 701 KB

A fuzzy neural network for rule acquirin

A fuzzy neural network for rule acquiring on fuzzy control systems

✍ J.J. Shann; H.C. Fu 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 880 KB

A note on the integration of fuzzy syste

A note on the integration of fuzzy systems with neural networks under a TLTT framework

✍ Junhong Nie; T.H. Lee; D.A. Linkens 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 1000 KB

Recently, there has been a considerable amount of interest and practice in combining fuzzy systems with neural networks. Without aiming at giving a thorough review of this field or presenting technical details, this paper tries to provide a unified conceptual framework under which the two types of t