A HYBRID APPROACH TO LOCALLY OPTIMIZED INTERPRETABLE PARTITIONS OF FUZZY NEURAL MODELS

Wanqing Zhao, Kang Li, George W. Irwin, Qun Niu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Original language	English
Title of host publication	Proceedings of the International Conference on Evolutionary Computation Theory and Applications
Place of Publication	Paris
Publication status	Published - 2011

Cite this

@inproceedings{8c4b8123210e42798f76153a3157b516,

title = "A HYBRID APPROACH TO LOCALLY OPTIMIZED INTERPRETABLE PARTITIONS OF FUZZY NEURAL MODELS",

author = "Wanqing Zhao and Kang Li and Irwin, {George W.} and Qun Niu",

year = "2011",

language = "English",

isbn = "978-989-8425-83-6",

booktitle = "Proceedings of the International Conference on Evolutionary Computation Theory and Applications",

}

TY - GEN

T1 - A HYBRID APPROACH TO LOCALLY OPTIMIZED INTERPRETABLE PARTITIONS OF FUZZY NEURAL MODELS

AU - Zhao, Wanqing

AU - Li, Kang

AU - Irwin, George W.

AU - Niu, Qun

PY - 2011

Y1 - 2011

UR - https://www.scitepress.org/Link.aspx?doi=10.5220/0003626304610465

M3 - Conference contribution

SN - 978-989-8425-83-6

BT - Proceedings of the International Conference on Evolutionary Computation Theory and Applications

CY - Paris

ER -