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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

Semantic Scholar uses AI to extract papers important to this topic.
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… 
2015
2015
Two simple, sensitive spectroscopic and atomic absorption spectrometric (AAS) methods have been suggested for the determination… 
2013
2013
2010
2010
This paper presents some properties of unary coding of significance for biological learning and instantaneously trained neural… 
2010
2010
Innovative thinking techniques, i.e., heuristics applied during problem solving, stir both subconscious thinking engines into… 
Review
2006
Review
2006
This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and… 
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… 
1999
1999
Experiments which instantaneously visualises the fuel mixture-fraction for two different fuel injectors considered for use in…