PROCESS YOUR DATA SERIES!
What is this?
Designed to manipulate vast amount of data or information, neural networks are built from elementary interconnected processing units called neurons.
Their main feature is adaptability (capacity to "learn"), by modifying the internal structure of the connections between neurons, to best reflect input data to desired outputs.
Neural networks are used successfully in a variety of domains: data mining, pattern recognition, objects classification, prediction and forecasting, finding of dependency rules between input parameters.
What are we doing?
We are using different neural network models to analyze available data and provide forecasting for a limited amount of time.
Our models are based on GMDH (Group Method of Data Handling) studies, but we also use a variety of other neural networks based on Back-propagation and Quick-propagation learning algorithms.
Future development will focus on extending these networks to a wider variety of data series.
Forecasting & Data mining: Weather Data Processing using NN (WDP)