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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
