Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3053306
Abstract: To address the architecture complexity and ill-posed problems of neural networks when dealing with high-dimensional data, this article presents a Bayesian-learning-based sparse stochastic configuration network (SCN) (BSSCN). The BSSCN inherits the basic idea of training… read more here.
Keywords: sparse stochastic; prediction intervals; prediction; based sparse ... See more keywords
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2988598
Abstract: In this paper, we consider the problem of detection of sparse stochastic signals based on 1-bit data with tree-structured sensor networks (TSNs). In the literature, distributed detection of sparse signals with parallel sensor networks (PSNs)… read more here.
Keywords: detection sparse; sparse stochastic; bit data; sensor ... See more keywords