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Title: N-step prediction using box-Jenkins methodology
Authors: Srinivasan Venkatachari.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Issue Date: 2002
Abstract: For modeling nonlinear systems, Artificial Neural Network (ANN) offers a promising alternative compared to the more conventional methods such as the Volterra series method and the Hammerstein model. ANN models are widely used in performing time series prediction. ANN models are trained and used as a single-step ahead predictor in control application.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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