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.

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Published

2023-01-29