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 :
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