Analysis of Face Recognition using Adaptive Neuro-Fuzzy Inference
Rajesh Adebayo
Corresponding
Massachusetts Institute of Technology
Shahidul Banerjee
Khulna University of Engineering & Technology
Carlos Mensah
Bangladesh Agricultural University
Abstract
Safety considerations in cellular communication systems require that face recognition be predicted with reasonable accuracy. The study integrates adaptive neuro-fuzzy inference with conventional analysis to improve accuracy in cellular communication systems. The results confirm that face recognition can be predicted with an error below 17%. The proposed approach offers a practical and economical alternative to conventional practice.
Keywords:
face recognitionadaptive neuro-fuzzy inferenceartificial neural networkdata miningremote sensingnumerical simulation
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