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Indoor electric field level prediction model based on the artificial neural networks

机译:基于人工神经网络的室内电场水平预测模型

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摘要

A new field strength prediction model for the mobile phone environment is presented. The model is based on the principles of popular feedforward neural networks. Utilizing a new artificial neural network model some important disadvantages of both deterministic and empirical models can be overcome. In order to build the model, extensive field strength measurements were carried out inside two different buildings. The analysis of the model has shown that the proposed model is fast, accurate (on the order of the focal mean measurements uncertainty) and reliable.
机译:提出了一种新的手机环境场强预测模型。该模型基于流行的前馈神经网络的原理。利用新的人工神经网络模型,可以克服确定性模型和经验模型的一些重要缺点。为了建立模型,在两个不同的建筑物内进行了广泛的场强测量。对模型的分析表明,所提出的模型是快速,准确的(按焦点平均测量不确定度的顺序)且可靠。

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