Sentence examples for pattern recognition capabilities from inspiring English sources

Early research focused on adapting existing hardware to emulate the pattern recognition capabilities of living organisms.

The methodology by which this is carried out is based on the intelligent and adaptive pattern recognition capabilities of an artificial neural network (three-layer feed forward, back propagation).

And we've arrived at novel applications for AI's immense predictive and pattern recognition capabilities to unlock value in medical data.

Reducing this parameter can significantly reduce the total number of neurons of the network, but it can also significantly reduce the pattern recognition capabilities of the model.

This metric was followed by a more complex one, based on wavelets, as an extension of SSIM to the complex wavelet domain, inspired by the pattern recognition capabilities of the human visual system [24].

These data modelling tasks should consist of flexible and inexpensive tools to enhance pattern recognition capabilities.

Soft computing techniques such as neural networks and genetic algorithm have been utilized increasingly for this end due to their excellent pattern recognition capability.

The experimental results proved that the NNGI system has strong robustness with the changes of model parameters, pattern recognition capability of complex nonlinear system and good real-time capability.

Future enhancements may also include pathologic reference imagery or computer-assisted pattern recognition capability; emergency therapeutic techniques such as high frequency ultrasound hemostasis or image-guided nerve blocks could be considered as candidates for advanced virtual guidance modules of future autonomous medical capability systems.

This approach exploits the sensitive pattern recognition capability of CE to identify haplotype blocks that occur in one population but not in the other.

Thanks to the exquisite pattern-recognition capabilities of the human brain, amateurs with just a little training can distinguish between different types of galaxy far more efficiently than computers can.