Prognostic Maps of Climatic Indicators Based on a Multivariate Neural Network

Vladislav Berdnikov; Nikolay Abasov

Prognostic Maps of Climatic Indicators Based on a Multivariate Neural Network

Authors

Vladislav Berdnikov Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences
Nikolay Abasov Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences

Keywords:

neural networks, predictive maps, clustering, MNN, k-means, forecasting

Abstract

The paper is concerned with the construction of maps of climatic indicators using a multivariate neural network. The application of the k-means clustering method for processing input data entering a neural network is described. An alternative neural model is considered within the framework of the multivariate neural network evolution.