Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance
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 serie...
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| Format: | Thesis |
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2011
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| Online Access: | http://shdl.mmu.edu.my/3399/ |
| _version_ | 1848790316959662080 |
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| author | Subramonian, Sivarao |
| author_facet | Subramonian, Sivarao |
| author_sort | Subramonian, Sivarao |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:10:41Z |
| format | Thesis |
| id | mmu-3399 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:10:41Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-33992012-03-27T03:18:07Z http://shdl.mmu.edu.my/3399/ Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance Subramonian, Sivarao QA76.75-76.765 Computer software 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. 2011-03 Thesis NonPeerReviewed Subramonian, Sivarao (2011) Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance. PhD thesis, University of Multimedia. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php |
| spellingShingle | QA76.75-76.765 Computer software Subramonian, Sivarao Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title | Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title_full | Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title_fullStr | Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title_full_unstemmed | Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title_short | Adaptive Network-Based Fuzzy Inference System Modeling Of CO2 Laser Cutting Performance |
| title_sort | adaptive network-based fuzzy inference system modeling of co2 laser cutting performance |
| topic | QA76.75-76.765 Computer software |
| url | http://shdl.mmu.edu.my/3399/ http://shdl.mmu.edu.my/3399/ |