This chapter describes a number of modifications to the learning algorithm and architecture of the selforganizing fuzzy neural network (SOFNN) to improve its computational efficiency and learning ability. To improve the SOFNNÕs computational efficiency, a new method of checking the network structure after it has been modified is proposed. Instead of testing the entire structure every time it has been modified, a record is kept of each neuronÕs firing strength for all data previously clustered b
Attributed to:
Intelligent Pre- and Post-Processing Algorithms for Autonomous Multiclass Brain-Computer Interfaces
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Type: Book Chapter
Book Title: System and Circuit Design for Biologically-inspired Intelligent Learning (2011)
ISBN: 978-1-60960-018-1