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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

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Artificial neural networkDocument classificationHamming weightHopfield network

Broader (1)

Machine learning

Papers overview

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Review
2016
Review
2016
Development of instantaneously puncture system for CT fluoroscopy-guided Interventional Radiology
There is minimally invasive method called Interventional Radiology (IR) that achieves an operation by using diagnostic imaging… 
2015
2015
Design Optimization of Solenoid Actuated Butterfly Valves Dynamically Coupled in Series
In this effort, we present novel nonlinear modeling of two solenoid actuated butterfly valves operating in series and then… 
Highly Cited
2013
Highly Cited
2013
Direct numerical simulation of horizontal open channel flow with finite-size, heavy particles at low solid volume fraction
We have performed direct numerical simulation of turbulent open channel flow over a smooth horizontal wall in the presence of… 
Review
2006
Review
2006
Instantaneously Trained Neural Networks
This paper presents a review of instantaneously trained neural networks (ITNNs). These networks trade learning time for size and… 
2006
2006
Instantaneously trained neural networks with complex and quaternion inputs
Neural network architectures such as backpropagation networks, perceptrons or generalized Hopfield networks can handle complex… 
2003
2003
Instantaneously trained neural networks with complex inputs
ii Acknowledgements I would like to take this opportunity to thank my advisor Dr. Subhash C. Kak for all his invaluable guidance… 
2002
2002
A class of instantaneously trained neural networks
Highly Cited
2001
Highly Cited
2001
Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models
The possible responses of ecosystem processes to rising atmospheric CO2 concentration and climate change are illustrated using… 
1999
1999
Better Web Searches and Prediction with Instantaneously Trained Neural Networks
methods—such as the backpropa-gation algorithm or self-organizing maps, the standard techniques for generaliza-tion—are… 
Highly Cited
1987
Highly Cited
1987
The Pricing of Options on Assets with Stochastic Volatilities
One option-pricing problem which has hitherto been unsolved is the pricing of European call on an asset which has a stochastic… 
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