We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks.
- Authors
Jafari, Raheleh; Razvarz, Sina; Gegov, Alexander
- Abstract
Predicting the solutions of complex systems is a crucial challenge. Complexity exists because of the uncertainty as well as nonlinearity. The nonlinearity in complex systems makes uncertainty irreducible in several cases. In this paper, two new approaches based on neural networks are proposed in order to find the estimated solutions of the fully fuzzy nonlinear system (FFNS). For obtaining the estimated solutions, a gradient descent algorithm is proposed in order to train the proposed networks. An example is proposed in order to show the efficiency of the considered approaches.
- Subjects
FUZZY logic; NONLINEAR systems; COMPUTER algorithms; ARTIFICIAL neural networks; UNCERTAINTY
- Publication
Vietnam Journal of Computer Science (World Scientific), 2020, Vol 7, Issue 1, p93
- ISSN
2196-8888
- Publication type
Article
- DOI
10.1142/S2196888820500050