A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network

A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network

In this paper, we extend our previous work on the Enhanced Fuzzy Min–Max (EFMM) neural network by introducing a new hyperbox selection rule and a pruning strategy to reduce network complexity and improve classification performance. Specifically, a new k-nearest hyperbox expansion rule (for selection...

Full description

Bibliographic Details
Main Authors: Mohammed, Mohammed Falah, Chee, Peng Lim
Format: Article
Language:English
Published: Elsevier Ltd 2017
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/16555/
http://umpir.ump.edu.my/id/eprint/16555/1/A%20new%20hyperbox%20selection%20rule%20and%20a%20pruning%20strategy%20for%20the%20enhanced%20fuzzy%20min%E2%80%93max%20neural%20network.pdf

Similar Items

Similar Items