Title :
Comparison of learning algorithms for feedforward neural nets
Author :
Nossek, J.A. ; Nachbar, P. ; Schuler, A.J.
Author_Institution :
Inst. of Network Theory & Circuit Design, Tech. Univ. Munchen, Germany
Abstract :
Several well known learning algorithms for feedforward two-layer neural nets and an improved version of Madaline I have been investigated and compared with respect to learning effort and classification capacity. These results, based on random training patterns, and their significance for generalization have been verified with real life data for ICR/OCR
Keywords :
feedforward neural nets; generalisation (artificial intelligence); learning (artificial intelligence); pattern classification; ICR/OCR; Madaline I; classification; feedforward two-layer neural net; generalization; learning algorithm; random training pattern; Backpropagation algorithms; Capacity planning; Circuit synthesis; Data mining; Electronic mail; Feedforward neural networks; Neural networks; Optical character recognition software; Supervised learning; Training data;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541613
