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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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Papers overview

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2018
2018
This chapter presents a physical method to solve a maze using an electric circuit. The temperature increase due to Joule heating… 
2015
2015
In this effort, we present novel nonlinear modeling of two solenoid actuated butterfly valves operating in series and then… 
2013
2013
2011
2011
In aerospace applications, water or oil may ingress in the honeycomb structure, it is important to detect what kind of liquid… 
2010
2010
This paper relates preliminary results concerning the solution of inverse problems arising in electric sense based navigation… 
2010
2010
General intelligence requires open-ended exploratory learning. The principle of compression progress proposes that agents should… 
Review
2006
Review
2006
This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and… 
2003
2003
ii Acknowledgements I would like to take this opportunity to thank my advisor Dr. Subhash C. Kak for all his invaluable guidance… 
2003
2003
Multiplexing and space-time coding are competing ways of extracting capacity out of MIMO wireless systems. We address the problem… 
2002
2002
  • 2002
  • Corpus ID: 14936210
A common critique of the microstructure approach to exchange rates is based on an alternative hypothesis under which public…