✦ LIBER ✦

Modelling of dam behaviour based on neuro-fuzzy identification

✍ Scribed by Vesna Ranković; Nenad Grujović; Dejan Divac; Nikola Milivojević; Aleksandar Novaković

Book ID: 113601988
Publisher: Elsevier Science
Year: 2012
Tongue: English
Weight: 875 KB
Volume: 35
Category: Article
ISSN: 0141-0296
DOI: 10.1016/j.engstruct.2011.11.011

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neuro-fuzzy system modeling based on aut

Neuro-fuzzy system modeling based on automatic fuzzy clustering

✍ Yuangang Tang; Fuchun Sun; Zengqi Sun 📂 Article 📅 2005 🏛 South China University of Technology and Academy o 🌐 English ⚖ 725 KB

Prediction of Solar Activity Based on Ne

Prediction of Solar Activity Based on Neuro-Fuzzy Modeling

✍ Abdel-Fattah Attia; Rabab Abdel-Hamid; Maha Quassim 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 813 KB

A neuro-fuzzy-based Preisach approach on

A neuro-fuzzy-based Preisach approach on hysteresis modeling

✍ Emad Dlala; Antero Arkkio 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 218 KB

Neuro-fuzzy control based on the NEFCON-

Neuro-fuzzy control based on the NEFCON-model: recent developments

✍ A. Nürnberger; D. Nauck; R. Kruse 📂 Article 📅 1999 🏛 Springer 🌐 English ⚖ 685 KB

A new neuro-fuzzy identification model o

A new neuro-fuzzy identification model of nonlinear dynamic systems

✍ Minho Lee; Soo-Young Lee; Cheol Hoon Park 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 577 KB

Nonlinear system identification based on

Nonlinear system identification based on modelling of restoring force behaviour

✍ Arturo O. Cifuentes; Wilfred D. Iwan 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 637 KB

This paper introduces a system identification algorithm based upon modelling of the restoring force behaviour of the structure. This algorithm is more efficient than traditional algorithms based upon matching the time history of response of the structure, since error evaluation does not require the