Title :
On the relationships between statistical pattern recognition and artificial neural networks
Author_Institution :
Dept. of Electr. & Comput. Eng., Southeastern Massachusetts Univ., North Dartmouth, MA, USA
Abstract :
The relationship between pattern classification using statistical decision theory and some feedforward neural networks are examined. The performance of eight networks is compared with that of the k-nearest neighbor decision rule with respect to memory requirements, computation time for classification, training time and adaptation or generalization capability
Keywords :
decision theory; learning systems; neural nets; pattern recognition; statistics; adaptation; artificial neural networks; computation time; feedforward neural networks; generalization capability; k-nearest neighbor decision rule; learning systems; pattern classification; statistical decision theory; statistical pattern recognition; training time; Adaptive systems; Artificial neural networks; Binary trees; Classification tree analysis; Computer networks; Kernel; Multilayer perceptrons; Neural networks; Pattern recognition; Radial basis function networks;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142088
