𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neuro-fuzzy relational systems for nonlinear approximation and prediction

✍ Scribed by Rafał Scherer


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
464 KB
Volume
71
Category
Article
ISSN
0362-546X

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Neuro-fuzzy systems for function approxi
✍ Detlef Nauck; Rudolf Kruse 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 848 KB

We present a neuro-fttzzy architecture for function approximation based on supervised learning. The learning algorithm is able to determine the structure and the parameters of a fuzzy system. The approach is an extension to our already published NEFCON and NEFCLASS models which are used for control

Neuro-fuzzy methods for nonlinear system
✍ Robert Babuška; Henk Verbruggen 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 263 KB

Most processes in industry are characterized by nonlinear and time-varying behavior. Nonlinear system identification is becoming an important tool which can be used to improve control performance and achieve robust fault-tolerant behavior. Among the different nonlinear identification techniques, met

An adaptive neuro-fuzzy tracking control
✍ S.P. Moustakidis; G.A. Rovithakis; J.B. Theocharis 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 613 KB

An adaptive neuro-fuzzy control design is suggested in this paper, for tracking of nonlinear affine in the control dynamic systems with unknown nonlinearities. The plant is described by a Takagi-Sugeno (T-S) fuzzy model, where the local submodels are realized through nonlinear dynamical input-output

HyFIS: adaptive neuro-fuzzy inference sy
✍ J. Kim; N. Kasabov 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 616 KB

This paper proposes an adaptive neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy Inference System), for building and optimising fuzzy models. The proposed model introduces the learning power of neural networks to fuzzy logic systems and provides linguistic meaning to the connectionist architectures. H