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IJCNN
2000
IEEE
15 years 1 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
HAPTICS
2002
IEEE
15 years 2 months ago
Optimal Design Method for Selective Nerve Stimulation and Its Application to Electrocutaneous Display
We have developed a tactile display that uses electric current from the skin surface as a stimulus. Our main objective was to independently stimulate a variety of mechanoreceptors...
Hiroyuki Kajimoto, Naoki Kawakami, Susumu Tachi
SIAMJO
2010
83views more  SIAMJO 2010»
14 years 7 months ago
The Lifted Newton Method and Its Application in Optimization
Abstract. We present a new “lifting” approach for the solution of nonlinear optimization problems (NLPs) that have objective and constraint functions with intermediate variable...
Jan Albersmeyer, Moritz Diehl
IEEEPACT
2005
IEEE
15 years 3 months ago
Instruction Based Memory Distance Analysis and its Application
Feedback-directed Optimization has become an increasingly important tool in designing and building optimizing compilers as itprovides a means to analyze complexprogram behavior th...
Changpeng Fang, Steve Carr, Soner Önder, Zhen...
CORR
1999
Springer
124views Education» more  CORR 1999»
14 years 9 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