eprintid: 3774
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/37/74
datestamp: 2023-11-09 15:52:02
lastmod: 2023-11-09 15:52:02
status_changed: 2023-11-09 15:47:35
type: conference_item
metadata_visibility: show
creators_name: Halim, A.H.
creators_name: Ismail, I.
title: Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization
ispublished: pub
keywords: 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
note: 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
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. © 2013 IEEE.
date: 2013
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921785469&doi=10.1109%2fSCOReD.2013.7002593&partnerID=40&md5=864d0bed4bd8a37b349cd65aad74058d
id_number: 10.1109/SCOReD.2013.7002593
full_text_status: none
publication: Proceeding - 2013 IEEE Student Conference on Research and Development, SCOReD 2013
pagerange: 295-300
refereed: TRUE
isbn: 9781479926565
citation:   Halim, A.H. and Ismail, I.  (2013) Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization.  In: UNSPECIFIED.