889 search results - page 39 / 178 » Probabilistic Neural Network Models for Sequential Data |
EAAI
2006
13 years 8 months ago
2006
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
AAAI
1990
13 years 9 months ago
1990
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
ADHOC
2006
13 years 8 months ago
2006
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The dis...
WSC
1998
13 years 9 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...