6533b836fe1ef96bd12a0887
RESEARCH PRODUCT
A New Min-Max Optimisation Approach for Fast Learning Convergence of Feed-Forward Neural Networks
A. TarantinoFilippo SorbelloAntonio GentileAntonio Chellasubject
Mathematical optimizationError functionArtificial neural networkWake-sleep algorithmComputer sciencebusiness.industryConvergence (routing)Process (computing)Feed forward neuralArtificial intelligenceDescent directionbusinessGeneralization errordescription
One of the most critical aspect for a wide use of neural networks to real world problems is related to the learning process which is known to be computational expensive and time consuming.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1993-01-01 |