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

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3/17/95