Rescaling of variables in back propagation learning

Neural Networks

Volumn 4, Issue 2, 1991, Pages 225-229

  Rigler, A K ^a   Irvine, J M ^b   Vogl, T P ^b  

^a MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^b ALTARUM INSTITUTE   (United States)

Author keywords

Backward error propagation; Layered networks; Preconditioning; Rescaling

Indexed keywords

COMPUTER PROGRAMMING - ALGORITHMS; LEARNING SYSTEMS;

BACKPROPAGATION ALGORITHM; RESCALING OF VARIABLES;

NEURAL NETWORKS;

EID: 0025841422     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(91)90006-Q     Document Type: Article

References (8)

1. On a successive transformation of probability distribution and its application to the analysis of the optimum gradient method
2. The method of steepest descent for non-linear minimization problems
3. Punched-card experiments with accelerated gradient methods for linear equations
4. Increased rates of convergence through learning rate adaption
5. Uses and abuses of statistical simulation
6. Accelerating the convergence of the back propagation method