Abstract
To achieve intelligent real-time processing, the paper presents a weightless neural-based cognitive system which is capable of classifying, analysing, and prediction from sight or sound. The proposed cognitive system fused recursive-least-square (RLS) filters in parallel with an enhanced probabilistic convergent network (EPCN) serially--implemented on field programmable gate array. The novelty is that EPCN does not require an optimum result from RLS to achieve good responses from the RLS---EPCN fusion, thereby further offering two main distinguishing features: compactness and speed. Test results demonstrate RLS---EPCN's suitability to exploration/exploitation of hostile surroundings such as sea exploration.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
