Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System
This paper presents the development of a semi-autonomous robotic system that operates based on Artificial Neural Networks (ANN). The ANN is a computational technique which models the way biological neurons work. ANN is used in pattern recognition, adaptive filtering, control systemand others. Applic...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
ACTA Press
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/48156 |
| _version_ | 1848758032484270080 |
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| author | Lau, John Tan, Terence |
| author2 | A.P. Del Pobil |
| author_facet | A.P. Del Pobil Lau, John Tan, Terence |
| author_sort | Lau, John |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents the development of a semi-autonomous robotic system that operates based on Artificial Neural Networks (ANN). The ANN is a computational technique which models the way biological neurons work. ANN is used in pattern recognition, adaptive filtering, control systemand others. Application of embedded systems technology such as microcontroller or programmable logic device (PLD) is necessary to control the system. Through wireless communication between the embedded system and a general-purpose computer, the system can be further empowered.With regard to the principle of equivalence of hardware and software, ANN can be developed in software or hardware form. The system is a prototype that serves as a foundation for further development for many applications including space exploration and services. An innovative improved version of Correlation Matrix Memory (CMM) learning algorithm capable of computing random optimized memory matrix and solving linearly inseparable exclusive or (XOR) logical operations was discovered and implemented. It is termed as Randomized Improved Correlation Marix Memory (RICMM). |
| first_indexed | 2025-11-14T09:37:32Z |
| format | Conference Paper |
| id | curtin-20.500.11937-48156 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:37:32Z |
| publishDate | 2008 |
| publisher | ACTA Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-481562017-01-30T15:37:53Z Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System Lau, John Tan, Terence A.P. Del Pobil Embedded System Robotics Artificial Neural Networks Randomized Improved Correlation Matrix Memory This paper presents the development of a semi-autonomous robotic system that operates based on Artificial Neural Networks (ANN). The ANN is a computational technique which models the way biological neurons work. ANN is used in pattern recognition, adaptive filtering, control systemand others. Application of embedded systems technology such as microcontroller or programmable logic device (PLD) is necessary to control the system. Through wireless communication between the embedded system and a general-purpose computer, the system can be further empowered.With regard to the principle of equivalence of hardware and software, ANN can be developed in software or hardware form. The system is a prototype that serves as a foundation for further development for many applications including space exploration and services. An innovative improved version of Correlation Matrix Memory (CMM) learning algorithm capable of computing random optimized memory matrix and solving linearly inseparable exclusive or (XOR) logical operations was discovered and implemented. It is termed as Randomized Improved Correlation Marix Memory (RICMM). 2008 Conference Paper http://hdl.handle.net/20.500.11937/48156 ACTA Press restricted |
| spellingShingle | Embedded System Robotics Artificial Neural Networks Randomized Improved Correlation Matrix Memory Lau, John Tan, Terence Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title | Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title_full | Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title_fullStr | Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title_full_unstemmed | Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title_short | Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System |
| title_sort | randomized improved correlation matrix memory in ann-based semi-autonomous robotic system |
| topic | Embedded System Robotics Artificial Neural Networks Randomized Improved Correlation Matrix Memory |
| url | http://hdl.handle.net/20.500.11937/48156 |