Analysis of Face Recognition using Adaptive Neuro-Fuzzy Inference

1. Introduction

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.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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