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Delta rule
In machine learning, the delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single…
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Related topics
Related topics
8 relations
Activation function
Backpropagation
Catastrophic interference
Feedforward neural network
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Compilation Techniques for Incremental Collection Processing
Daniel Lupei
2017
Corpus ID: 65155743
Many map-reduce frameworks as well as NoSQL systems rely on collection programming as their interface of choice due to its rich…
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2016
2016
Content Parsing Using Data Mining TF-IDF algorithm implementation
Suraj Gaikwad
,
R. Agarwal
2016
Corpus ID: 212598360
: Content parsing and understanding of data is very important. The process involves various data mining techniques with bag of…
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2011
2011
Aplicación de modelos de redes neuronales artificiales a la determinación de movimientos en una presa bóveda.
F. Ballesteros
,
J. F. Mora
,
David Santillán Sánchez
,
Rafael Morán Moya
,
M. Municio
2011
Corpus ID: 126437724
The complexity of the dam-foundation makes difficult to interpret the records of auscultation. It is not easy to make a prognosis…
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2008
2008
P-Delta effects on tall RC frame-wall buildings
T. Sullivan
,
T. Pham
,
G. Calvi
2008
Corpus ID: 115129173
Current international design codes impose limits on the P-delta ratio, which appear to have been set to ensure a minimum…
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2008
2008
Some reactions of Delta 5 - steroids
P. Ruddock
2008
Corpus ID: 93637018
2008
2008
Performance tradeoffs in write-optimized databases
Stefan Hildenbrand
2008
Corpus ID: 61904872
Monitoring applications like environmental monitoring are write-intensive applications. Stream processing techniques are…
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2004
2004
Universal Approximator Employing Neo-Fuzzy Neurons
Vitaliy Kolodyazhniy
,
Yevgeniy V. Bodyanskiy
,
P. Otto
Fuzzy Days
2004
Corpus ID: 33461461
A novel fuzzy neural network, called Fuzzy Kolmogorov’s Network (FKN), is considered. The network consists of two layers of neo…
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2000
2000
THE STATISTICAL ACCURACY OF DELTA-V IN SYSTEMATIC FIELD ACCIDENT STUDIES
J. Lenard
,
B. Hurley
,
P. Thomas
2000
Corpus ID: 56265488
Much attention has been paid to the importance of calculating delta-V (the change of velocity during impact) and other impact…
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1998
1998
An Addition to Backpropagation for Computing Functional Roots
L. Kindermann
ICSC Symposium on Neural Computation
1998
Corpus ID: 5672636
Many processes are composed of a n-fold repetition ofsome simpler process. If the whole process can be modeledwith a neural…
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1990
1990
Smoothing backpropagation cost function by delta constraining
P. Burrascano
,
P. Lucci
IJCNN International Joint Conference on Neural…
1990
Corpus ID: 7442362
Convergence problems in the case of the generalized delta rule are discussed. A modification to the nonlinearity of processing…
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