DocumentCode
694942
Title
Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization
Author
Halim, A. Hanif ; Ismail, Idris
Author_Institution
Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear
2013
fDate
16-17 Dec. 2013
Firstpage
295
Lastpage
300
Abstract
This paper introduces a theoretical new approach for training the adaptive-network-based fuzzy inference system (ANFIS) using Tree Physiology Optimization (TPO). The TPO is a heuristic method based on tree physiology. The method will be applied to nonlinear dynamic system.
Keywords
adaptive systems; botany; fuzzy reasoning; optimisation; physiology; ANFIS; TPO; adaptive-network-based fuzzy inference system; neuro-fuzzy system; nonlinear dynamic system; nonlinear plant modeling; tree physiology optimization; Carbon; Fuzzy logic; Mathematical model; Neural networks; Optimization; Physiology; Training; ANFIS; Fuzzy; Neural Network; Tree Physiology Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Research and Development (SCOReD), 2013 IEEE Student Conference on
Conference_Location
Putrajaya
Type
conf
DOI
10.1109/SCOReD.2013.7002593
Filename
7002593
Link To Document