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NPL
2000
135views more  NPL 2000»
15 years 7 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
RAS
2000
130views more  RAS 2000»
15 years 7 months ago
Allocating optimal index positions on tool magazines using genetic algorithms
This paper presents an optimisation system software developed for the determination of optimal index positions of cutting tools on the automatic tool changer (ATC) or turret magaz...
Türkay Dereli, I. Hüseyin Filiz
AUTOMATICA
1999
84views more  AUTOMATICA 1999»
15 years 7 months ago
Optimizing the receiver maneuvers for bearings-only tracking
This paper deals with the optimization of the observer trajectory for target motion analysis. The observations are made of estimated bearings. The problem consists in determining ...
Jean-Pierre Le Cadre, S. Laurent-Michel
CORR
1999
Springer
124views Education» more  CORR 1999»
15 years 7 months ago
An Algebraic Programming Style for Numerical Software and its Optimization
The abstract mathematical theory of partial differential equations (PDEs) is formulated in terms of manifolds,scalar fields, tensors, and the like, but these algebraic structures a...
T. B. Dinesh, Magne Haveraaen, Jan Heering
MP
2002
110views more  MP 2002»
15 years 7 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski