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Mobile telephony RF mapping using fuzzy-CMAC neural networks

机译:使用模糊CMAC神经网络的移动电话RF映射

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In this work, an engineering solution to a very common problem in mobile telephony is proposed using the artificial neural networks theory. The radio frequency (RF) level mapping problem is described and some considerations about its solution are taken. The structures and operation details of CMAC and Fuzzy-CMAC neural networks are also discussed and a solution to the above problem is derived. The steps needed to reach accurate and reliable results are depicted. Results obtained with real field data acquired by Telemig Celular Company from Brazil are shown and a final analysis is made considering the performance achieved with the described approach. Finally, some improvements to the presented solution are proposed, as suggestions to continuing the current research.
机译:在这项工作中,采用人工神经网络理论提出了对移动电话非常常见问题的工程解决方案。描述了射频(RF)级映射问题,并拍摄关于其解决方案的一些考虑因素。还讨论了CMAC和模糊-CMAC神经网络的结构和操作细节,并导出了上述问题的解决方案。描绘了达到准确和可靠的结果所需的步骤。通过从巴西的Telemig Celular公司获得的真实现场数据获得的结果显示,并考虑到所描述的方法实现的性能进行了最终分析。最后,提出了对所提出的解决方案的一些改进,作为继续对当前研究的建议。

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