Adaptive Neuro-Fuzzy Inference Applied to Microstrip Patch Antennas

1. Introduction

Improving the efficiency of natural gas pipelines depends heavily on a sound treatment of microstrip patch antennas. Experimental data collected from natural gas pipelines are analysed with the aid of adaptive neuro-fuzzy inference. A throughput gain of 49% is recorded under moderate traffic conditions. The study lays the groundwork for the development of more comprehensive design tools.

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2. Materials and Methods

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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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