CP21 ~ Tuesday, May 23, 1995 ~ 10:00 AM

Time Series II

Learning the Dynamics of Nonlinear Stochastic Processes
Lisa M. Borland, University of California, Berkeley
Continuous-time Nonlinear Signal Processing: A Neural Network Based Approach for Gray Box Identification
Jason S. Anderson, Ramiro Rico-Martinez and Ioannis G. Kevrekidis, Princeton University
Using Self-organizing Maps for Time-Series Prediction
G. Dangelmayr, University of Tübingen, Germany; and Michael J. Kirby, Colorado State University
Prediction of Burstiness using Neural Network
Bongseog Jang, Vineet Mehta and Charles Thompson, University of Massachusetts, Lowell
Modeling Coarsley Sampled Flows
Jeffrey S. Brush, RTA Corporation, Gaithersburg, Maryland
Two Ways of Chaotic Signals Complication under Linear Filtering
Alexey A. Kipchatov and Leonid V. Krasichkov, Saratov State University, Russia



3/17/95