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Instantaneously trained neural networks
Instantaneously trained neural networks are feedforward artificial neural networks that create a new hidden neuron node for each novel training…
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Related topics
Related topics
7 relations
Artificial neural network
Document classification
Hamming weight
Hopfield network
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
M ar 2 01 8 The Electron in the Maze
S. Ayrinhac
2018
Corpus ID: 50861113
This chapter presents a physical method to solve a maze using an electric circuit. The temperature increase due to Joule heating…
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2015
2015
Design Optimization of Solenoid Actuated Butterfly Valves Dynamically Coupled in Series
Peiman Naseradinmousavi
,
C. Nataraj
IEEE/ACM International Conference on Human-Robot…
2015
Corpus ID: 112105166
In this effort, we present novel nonlinear modeling of two solenoid actuated butterfly valves operating in series and then…
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2013
2013
Drops of ink
D. Hecq
2013
Corpus ID: 138309100
2011
2011
The effect of flash power on the measurement of thermal effusivity using thermal wave imaging
Z. Zeng
,
N. Tao
,
Li-chun Feng
,
Yue Li
,
Cunlin Zhang
Applied Optics and Photonics China
2011
Corpus ID: 136918744
In aerospace applications, water or oil may ingress in the honeycomb structure, it is important to detect what kind of liquid…
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2010
2010
On solving inverse problems for electric fish like robots
M. Alamir
,
O. Omar
,
+6 authors
Stéphane Bouvier
IEEE International Conference on Robotics and…
2010
Corpus ID: 8899815
This paper relates preliminary results concerning the solution of inverse problems arising in electric sense based navigation…
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2010
2010
Compression Progress, Pseudorandomness, & Hyperbolic Discounting
Moshe Looks
Artificial General Intelligence
2010
Corpus ID: 18468338
General intelligence requires open-ended exploratory learning. The principle of compression progress proposes that agents should…
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Review
2006
Review
2006
Instantaneously Trained Neural Networks
Abhilash Ponnath
arXiv.org
2006
Corpus ID: 5739505
This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and…
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2003
2003
Instantaneously trained neural networks with complex inputs
P. Rajagopal
2003
Corpus ID: 63815274
ii Acknowledgements I would like to take this opportunity to thank my advisor Dr. Subhash C. Kak for all his invaluable guidance…
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2003
2003
Combining Space-Time Block Codes and Multiplexing in Correlated MIMO channels: An Antenna Assignment strategy
H. Skjevling
,
D. Gesbert
,
N. Christophersen
2003
Corpus ID: 14022006
Multiplexing and space-time coding are competing ways of extracting capacity out of MIMO wireless systems. We address the problem…
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2002
2002
Is Order Flow Correlated with Public Information ?
2002
Corpus ID: 14936210
A common critique of the microstructure approach to exchange rates is based on an alternative hypothesis under which public…
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