Title :
A neural network for generating diverse decision boundaries with a minimal number of parameters
Author :
Bankman, Isaac N. ; Sadowsky, John ; Sigillito, Vincent G.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
We present a neural network architecture that can provide a large number of flexible decision boundaries for pattern recognition using a minimal number of parameters. A biologically compatible implementation of the network leads to greater discrimination power.
Keywords :
decision theory; medical computing; neural nets; pattern recognition; diverse decision boundaries; neural network; pattern recognition; Biology; Surface morphology;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761240
