Time Series Analysis using Neural Networks: Tidal Data - case study - Softcover

Vijay, Ritu

Softcover

ISBN 10: 3659211818 ISBN 13: 9783659211812

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

Artificial neural networks are suitable for many tasks in pattern recognition and machine learning. Unlike conventional techniques for time series analysis, an artificial neural network needs little information about the time series data and can be applied to a broad range of problems. The usage of artificial neural networks for time series analysis relies purely on the data that were observed. As Radial Basis networks with one hidden layer is capable of approximating any measurable function. An artificial neural network is powerful enough to represent any form of time series. The capability to generalize allows artificial neural networks to learn even in the case of noisy and/or missing data. Another advantage over linear models is the network's ability to represent nonlinear time series. Prediction of tides is very much essential for human activities and to reduce the construction cost in marine environment. This book presents an application of the artificial neural network with Radial basis function for accurate prediction of tides. This neural network model predicts the time series data of hourly tides directly while using an an efficient learning process.

About this title

About the Author

Dr. Ritu Vijay graduated in Electronics and Computer science at Banasthali University, Banasthali. She also secured M.Sc. & PhD degree and working as a Associate Professor in the Department of Electronics, Banasthali University. She has more than fifteen years of teaching experience and number of papers in reputed journals.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3659211818
• ISBN 13: 9783659211812
• Binding: Paperback
• Number of pages: 60