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

Vijay, Ritu

ISBN 10: 3659211818 / ISBN 13: 9783659211812

Edité par LAP LAMBERT Academic Publishing, 2012

In. N° de réf. du vendeur ria9783659211812_new

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.

Détails bibliographiques

Titre : Time Series Analysis using Neural Networks: ...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2012
Reliure : Couverture souple
Etat : New