Abstract
This paper introduces two new competitive learning paradigms, namely rival rewarded and randomly rewarded rival competitive learning. In both cases, the winner is rewarded as in the classical competitive learning. In the rival rewarded case, the nearest rival can be rewarded in a number of ways. In the second case, the rival is randomly rewarded or penalised by a number of ways. For both paradigms, it is shown experimentally that they behave similarly to the rival penalised competitive learning.
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.
