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BP networks can be employed for linear non-separable pattern recognition, function fitting, and optimization.
CLONALG algorithm is mainly used in three engineering problem domains: pattern recognition, function optimization and combinatorial optimization [30].
This result is consistent with a pattern recognition function of PTX3 that facilitates the immobilisation and display of micro-organisms.
The pattern recognition function of CD36 has been conserved throughout evolution across a diverse range of species.
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As was mentioned earlier, the analysis applications that are run on the data may apply statistical techniques, data mining, machine learning, clustering and classification, and pattern recognition functions.
Applications include pattern recognition and function approximation [1].
The adaptable prosthetic system is composed of an EMG signal controlled robot hand with an EMG pattern recognition learning function for Transradial (below elbow) prostheses.
However, fewer in vivo studies have been carried out to examine the conservation of pattern recognition molecule function in zebrafish.
In the fields of data mining and pattern recognition, potential functions can be used for density clustering and image segmentation (IS) [30].
Neural nets can be used to learn and compute functions for which the analytical relationships between inputs and outputs are unknown and/or computationally complex and are therefore useful for pattern recognition, classification, and function approximation.
It has widely such as pattern recognition, data analysis, function approximation and optimization.
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