%P 295-300
%I Institute of Electrical and Electronics Engineers Inc.
%A A.H. Halim
%A I. Ismail
%T Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization
%L scholars3774
%J Proceeding - 2013 IEEE Student Conference on Research and Development, SCOReD 2013
%O cited By 9; Conference of 2013 11th IEEE Student Conference on Research and Development, SCOReD 2013 ; Conference Date: 16 December 2013 Through 17 December 2013; Conference Code:109913
%R 10.1109/SCOReD.2013.7002593
%D 2013
%K Forestry; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Heuristic methods; Neural networks; Nonlinear dynamical systems; Optimization; Physiology, Adaptive network based fuzzy inference system; ANFIS; Fuzzy; Neurofuzzy system; New approaches; Nonlinear plant, Fuzzy inference, Models; Neural Networks; Optimization; Physiology; Plants; Trees
%X 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. © 2013 IEEE.