Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization

Halim, A.H. and Ismail, I. (2013) Nonlinear plant modeling using neuro-fuzzy system with tree physiology optimization. In: UNSPECIFIED.

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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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 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
Uncontrolled 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
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:52
Last Modified: 09 Nov 2023 15:52
URI: https://khub.utp.edu.my/scholars/id/eprint/3774

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