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This study reports the design and implementation of a pattern recognition algorithm aimed to classify electroencephalographic (EEG) signals based on a class of dynamic neural networks (NN) described by time delay differential equations (TDNN).
This study reports the design and implementation of a pattern recognition algorithm to classify electroencephalographic (EEG) signals based on artificial neural networks (NN) described by ordinary differential equations (ODEs).
48 The key innovations of this approach are the simulation of observations for non-responders, and the explicit incorporation of differential associations for non-responders and responders for any given age/sex/deprivation/region combination by factoring in an alternative hospital admission/death rate for the non-responders by implementation of a pattern mixture-based approach.
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Implementation of a design pattern can take many forms according to the programming language being used.
Multimethods offer several well-known advantages over the single dispatching of conventional object-oriented languages, including a simple solution to the binary method problem, a natural implementation of the strategy design pattern, and a form of open objects that enables easy addition of new operations to existing classes.
The model is an existence proof for a biologically plausible implementation of a neural blackboard central pattern generator.
A simple and low cost implementation of this pattern was realized by conducting a case study with participants of the European Virtual Seminar on Sustainable Development (EVS).
Run-time efficiency is mainly achieved by way of a lock-less implementation of patterns exhibiting a speed edge against other popular parallel programming frameworks (also see performance comparisons in [ 24]).
The relatively high variability of routinely employed pattern recognition of ANA fluorescence images on HEp-2 cells is a challenge for the implementation of automated pattern recognition.
As a result, the implementation of such a load pattern in seismic design of soil structure systems may not be appropriate.
After stability assessment, a new (1) is formed for next-step implementation of the pattern search algorithm.
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