In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...
This paper proposes a spatio-temporal macroprogramming paradigm for push-pull hybrid wireless sensor networks (WSNs). The proposed paradigm, called SpaceTime Oriented Programming ...
This paper describes the analysis, implementation and performance of a new algorithm engineered to discipline a computer clock to a source of standard time, such as a GPS receiver...