A pseudo-incremental rough set-based pseudo outer-product with ensemble learning (ieRSPOP++) fuzzy neural network

• 主要作者: Iyer, Aparna.
• 其他作者: Quek Hiok Chai
• 格式: Final Year Project
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: http://hdl.handle.net/10356/52064

Attribute and rule reduction through rough set theory in order to increase semantic interpretability is achieved in the rough set pseudo outer-product fuzzy neural network (RSPOP FNN); to improve the capability of RSPOP to function as an incremental system, an incremental ensemble RSPOP FNN is propo...