Title :
Successive bifurcation neural network classifier
Author :
Anbumani, K. ; Manogaran, B.
Author_Institution :
Dept. of Comput. Sci. & Eng., Gov. Coll. of Technol., Coimbatore, India
Abstract :
This paper proposes a successive bifurcation technique for classification using neural networks. This technique is shown to give better performance than a normal neural network
Keywords :
bifurcation; neural nets; pattern classification; classification; complex separation boundaries; successive bifurcation neural network classifier; two-class problem; Approximation methods; Art; Backpropagation; Bifurcation; Computer science; Educational institutions; Fuzzy neural networks; Fuzzy reasoning; Neural networks; Object oriented modeling;
Conference_Titel :
Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-3088-9
DOI :
10.1109/SECON.1996.510092
