The Rough Sets-based approach increases the fraction of predator-prey test instances solved by up to 24.5% over frequency-based Kanerva coding. We conclude that ...

In Section III, we reformulate Kanerva coding using rough sets theory. In Section IV, we describe our rough set-based Kanerva-based function approximation and ...

The Rough Sets-based approach increases the fraction of predator-prey test instances solved by up to 24.5% over frequency-based Kanerva coding. We conclude that ...

Cheng Wu, Wei Li , Waleed Meleis: Rough Sets-Based Prototype Optimization in Kanerva-Based Function Approximation. WI-IAT (2) 2015: 283-291.

Apr 25, 2024 · Rough Sets-Based Prototype Optimization in Kanerva-Based Function Approximation. WI-IAT (2) 2015: 283-291; 2011. [c22]. view. electronic edition ...

Rough sets-based prototype optimization in kanerva-based function approximation. In 2015 IEEE/WIC/ACM. International Conference on Web Intelligence and.

C. Wu, W. Li and W. Meleis, "Rough Sets-based Prototype Optimization in Kanerva-based Function Approximation", IEEE/WIC/ACM International Conference on ...

The larger the value of the collision rate, the more frequently prototype collisions will occur during Kanerva-based function approximation. ...

Rough sets-based prototype optimization in kanerva-based function approximation. C Wu, W Li, W Meleis. Web Intelligence and Intelligent Agent Technology (WI-IAT) ...

Rough Sets-Based Prototype Optimization in Kanerva-Based Function Approximation · Cheng WuWei LiW. Meleis. Computer Science. 2015 IEEE/WIC/ACM International ...