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Gradient descent
Known as:
Descent
, Gradient descent optimization
, Gradient descent method
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Gradient descent is a first-order iterative optimization algorithm. To find a local minimum of a function using gradient descent, one takes steps…
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Related topics
Related topics
50 relations
AdaBoost
Backpropagation
Boltzmann machine
Conditional random field
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Bubble density gradient with laser detection: A wake-homing scheme for supercavitating vehicles
Jia Song
,
Likun Bian
,
Erfu Yang
,
D. Su
Advances in Mechanical Engineering
2018
Corpus ID: 55991172
The poor mobility and complex target motion estimation are the two main challenges in the anti-ship attack missions of high-speed…
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Highly Cited
2013
Highly Cited
2013
Exploring Patterns of Gradient Orientations and Magnitudes for Face Recognition
Ngoc-Son Vu
IEEE Transactions on Information Forensics and…
2013
Corpus ID: 17543802
A novel direction for efficiently describing face images is proposed by exploring the relationships between both gradient…
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Highly Cited
2003
Highly Cited
2003
The Geysers - Cobb Mountain Magma System, California (Part 1): U-Pb zircon ages of volcanic rocks, conditions of zircon crystallization and magma residence times
A. Schmitt
,
M. Grove
,
T. Harrison
,
O. Lovera
,
J. Hulen
,
M. Walters
2003
Corpus ID: 39358696
Highly Cited
2000
Highly Cited
2000
A matrix-algebraic approach to linear parallel interference cancellation in CDMA
Dongning Guo
,
L. Rasmussen
,
Sumei Sun
,
Teng Joon Lim
IEEE Transactions on Communications
2000
Corpus ID: 8331029
Linear parallel interference cancellation (PIC) schemes are described and analyzed using matrix algebra. It is shown that the…
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Highly Cited
1999
Highly Cited
1999
Robust control of induction motor with a neural-network load torque estimator and a neural-network identification
Chich-Yi Huang
,
Tien-Chi Chen
,
C. Huang
IEEE transactions on industrial electronics…
1999
Corpus ID: 36703522
This paper presents a control scheme for an induction motor drive which consists of a compensator, neural network identification…
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Highly Cited
1996
Highly Cited
1996
Aerodynamic shape optimization of supersonic aircraft configurations via an adjoint formulation on distributed memory parallel computers
J. Reuther
,
M. Rimlinger
,
J. Alonso
,
A. Jameson
1996
Corpus ID: 119948211
This work describes the application of a control theory-based aerodynamic shape optimization method to the problem of supersonic…
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Review
1995
Review
1995
Evolutionary Algorithms for Neural Network Design and Training
Jürgen Branke
1995
Corpus ID: 7879428
Neural networks and genetic algorithms are two relatively young research areas that were subject to a steadily growing interest…
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Highly Cited
1991
Highly Cited
1991
The definition of reaction coordinates for reaction‐path dynamics
G. Natanson
,
B. Garrett
,
T. Truong
,
T. Joseph
,
D. Truhlar
1991
Corpus ID: 9923099
We present equations for generalized‐normal‐mode vibrational frequencies in reaction‐path calculations based on various sets of…
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Highly Cited
1985
Highly Cited
1985
Fast algorithms for lpdeconvolution
R. Yarlagadda
,
J. Bednar
,
T. Watt
IEEE Transactions on Acoustics Speech and Signal…
1985
Corpus ID: 39702532
This paper discusses two algorithms for l_{p}, 1 \leq p \leq 2 , deconvolution. One, iterative reweighted least squares (IRLS…
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Review
1945
Review
1945
THE DETERMINATION OF SERUM PROTEIN CONCENTRATION WITH A GRADIENT TUBE
O. H. Lowry
,
T. Hunter
1945
Corpus ID: 82796498
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