Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance

Citation

Subramonian, Sivarao (2011) Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance. PhD thesis, University of Multimedia.

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Abstract

The main aim of this research was to construct an Adaptive Network-based Fuzzy Inference System (ANFIS) framework which is fuzzy inference system with hybrid learning strategy combining gradient descent and Kalman filter algorithm which is very appropriate for non-linear process modeling, time series prediction and intelligent control.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 27 Mar 2012 03:18
Last Modified: 27 Mar 2012 03:18
URII: http://shdl.mmu.edu.my/id/eprint/3399

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