articleIEEE AccessJan 1, 2019GOLD OA

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

OIOludare Isaac AbiodunMUMuhammad Ubale KiruAJAman JantanAEAbiodun Esther OmolaraKVKemi Victoria Dada

Universiti Sains Malaysia · Bingham University · +6 more institutions

Indexed incrossrefdoaj

Abstract

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, 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…

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Topics & keywords

Topics
Keywords
  • Mean squared error
  • Artificial neural network
  • Computer science
  • Mean absolute percentage error
  • Artificial intelligence
  • Mean absolute error
  • Focus (optics)
  • Pattern recognition (psychology)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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