A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
—Different physical impairments can occur in optical transmission systems. Impairments such as fiber nonlinear effects are dependent on network state and vary with traffic and to...
Wenhao Lin, Timothy Hahn, Richard S. Wolff, Brenda...
Abstract—We analyze the carrier sensing and interference relations between the two wireless links and measure the impact of these relations on link capacity in two indoor 802.11a...
Jeongkeun Lee, Sung-Ju Lee, Wonho Kim, Daehyung Jo...