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On the Construction of Neural Networks via Wireless Ad Hoc Networks

机译:通过无线自组织网络构建神经网络

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Due to the similarities between neural networks and ad hoc networks, ad hoc networks can be applied to construct distributed neural network to perform complex computation. In this paper, the broadcasting nature of wireless signal and communication interactions among the nodes in ad hoc network are applied to construct neural network, which reveals the interplay between communication and computing. In the constructed neural network, the neuron is the wireless node. The communication interactions are applied to increase the number of hidden layers. The constructed neural network is further applied in target positioning and its accuracy is verified by simulation results. This paper shows that the wireless networks can be applied in computation, which may motivate the construction of large-scale neural networks via the wireless networks.
机译:由于神经网络和自组织网络之间的相似性,自组织网络可用于构建分布式神经网络以执行复杂的计算。本文利用自组织网络中无线信号的广播性质和节点之间的通信交互作用来构建神经网络,从而揭示了通信与计算之间的相互作用。在构造的神经网络中,神经元是无线节点。应用通信交互来增加隐藏层的数量。所构建的神经网络被进一步应用于目标定位,并通过仿真结果验证了其准确性。本文表明无线网络可以应用于计算中,这可能会刺激通过无线网络构建大规模神经网络。

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