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Weight Exchange in Distributed Learning
(IEEE, 2016)
Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. ...
Channel estimation for visible light communications using neural networks
(Institute of Electrical and Electronics Engineers Inc., 2016)
Visible light communications (VLC) is an emerging field in technology and research. Estimating the channel taps is a major requirement for designing reliable communication systems. Due to the nonlinear characteristics of ...
A systems software architecture for training neural fuzzy neural and genetic computational intelligent networks
(IEEE, 2006)
A systems software architecture for training distributed neural fuzzy neural and genetic networks and their relevant information models have been developed. Principles of on-line architecture building training managing and ...
VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
(IEEE, 2000)
A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op-amp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. ...
Sparse Channel Estimation for Space-Time Block Coded OFDM-Based Underwater Acoustic Channels
(Institute of Electrical and Electronics Engineers Inc., 2018)
Communication over acoustic signals underwater results in multi-scale multi-lag channels due to multipath propagation. Hence a robust channel estimation technique has to be present at the receiver. In this paper assuming ...
Complex event post processing for traffic accidents
(IEEE, 2012)
In this paper we describe a framework for an expert system that tries to predict effects of an accident based on past data using supervised learning employing artificial neural networks. For this purpose sensory data events ...