Abstract | ||
---|---|---|
This paper discusses the application of Influence Diagrams on training Neural Networks. The basic concepts of these two methodologies are presented as a brief review. The conventional back-propagation training procedure is compared to other alternatives, by means of an example on visual pattern recognition. |
Year | DOI | Venue |
---|---|---|
1994 | 10.1007/3-540-60154-6_59 | EvoWorkshops |
Keywords | Field | DocType |
influence diagrams,training neural networks,influence diagram,pattern recognition,back propagation,neural network | Visual Pattern Recognition,Computer science,Bayesian network,Influence diagram,Artificial intelligence,Artificial neural network,Pattern recognition problem | Conference |
ISBN | Citations | PageRank |
3-540-60154-6 | 0 | 0.34 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexei M. C. Machado | 1 | 74 | 11.02 |
Mario F. M. Campos | 2 | 106 | 9.17 |