Randomized Improved Correlation Matrix Memory In ANN-Based Semi-Autonomous Robotic System
MetadataShow full item record
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).
Showing items related by title, author, creator and subject.
Modelling the co-occurence of Streptococcus pneumoniae with other bacterial and viral pathogens in the upper respiratory tractJacoby, P.; Watson, K.; Bowman, J.; Taylor, A.; Riley, T.; Smith, D.; Lehmann, Deborah (2007)Go to ScienceDirect® Home Skip Main Navigation Links Brought to you by: The University of Western Australia Library Login: + Register Athens/Institution Login Not Registered? - User Name: Password: ...
Efficient sparse matrix-vector multiplication for geophysical electromagnetic codes on Xeon Phi coprocessorsBernabeu, S.; Puzyrev, Volodymyr; Hanzich, M.; Fernandez, S. (2015)Sparse matrix-vector multiplication (spMV) is a fundamental building block of iterative solvers in many scientific applications. spMV is known to perform poorly in modern processors due to excessive pressure over the ...
Lum, J.; Conti-Ramsden, Gina; Page, D.; Ullman, M. (2012)According to the Procedural Deficit Hypothesis (PDH), abnormalities of brain structures underlying procedural memory largely explain the language deficits in children with specific language impairment (SLI). These ...