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Science·G Space·Evidence-backed gain·Published 2026-07-12

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN application to PR challenges, nevertheless, some problems are yet to be resolved like whimsical orientation (the unknown path that cannot be accurately calculated due to its directional position). Other problem includes; object classification, location, scaling, neuro…

TRV-2026-0066Peer-reviewedPermanent record — cite & verify
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

"Google Tech Talk on the Dichotomy of Design" by jurvetson is licensed under CC BY 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/2.0/.

The quick read

The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries. Although significant progress achieved and surveyed in addressing ANN application to PR challenges, nevertheless, some problems are yet to be resolved like whimsical orientation (the unknown path that cannot be accurately calculated due to its directional position).

Hence, there is a need for state-of-the-art in neural networks application to PR to urgently address the above-highlights problems for more successes.

Main points
  • Although significant progress achieved and surveyed in addressing ANN application to PR challenges, nevertheless, some problems are yet to be resolved like whimsical orientation (the unknown path that cannot be accurately calculated due to its directional position).
  • Other problem includes; object classification, location, scaling, neurons behavior analysis in hidden layers, rule, and template matching.
  • Also, the lack of extant literature on the issues associated with ANN application to PR seems to slow down research focus and progress in the field.
Gain

The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries.

The rundown

Other problem includes; object classification, location, scaling, neurons behavior analysis in hidden layers, rule, and template matching. Also, the lack of extant literature on the issues associated with ANN application to PR seems to slow down research focus and progress in the field.

Sources

The debate