Prediction using neural network
Prediction is making claims about something
that will happen often based on information from past and from current state.
Neural networks can be used for prediction
with various levels of success , The advantage of them includes automatic
learning of dependencies only from preasured data without any need to add
further information.
The neural network is trained from the
historical data with the hope that it will discover hidden dependencies and
that it will be able to use them for predicting into future.
The prediction type can be classified
according to various criteria
àData that we have for teaching prediction and
for prediction.
àWhat we want to predict value or trend.
For time series prediction we usually have
values of variables in equidistant intervals.
The advantage of the usage of neural networks
for prediction is that they are able to learn from examples.
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