fully connected feedforward neural networkIn modern wireless communication systems,the accurate acquisition of channel state information(CSI)is critical to the performance of beamforming,non-orthogonal multiple access(NOMA),etc.However,with the application of massive MIMO in 5G,the number of antennas ...
Venus is a complete verification tool for Relu-based feed-forward neural networks. Venus implements a MILP-based verification method whereby it leverages dependency relations between the ReLU nodes to reduce the search space that needs to be considered during branch-and-bound. The dependency relations...
This paper presents a model that uses non-fully connectedFeedforward Artificial Neural Networks (FANNs) for the forecasting ofa seawater-refrigerated power plant condenser performance using theheat transfer rate (Q), the heat transfer coefficient (U) and thecleanliness factor (F_c). The model ...