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The paper presents results concerning the research conducted to create an automated process that evaluates and scores any chess diagram in which the variation of an attribute influences the evaluation process in a widely accepted direction. To achieve this, an algorithm will be trained to make its own decisions regarding certain small variations of other properties outside the stable subset.

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On the Analysis and Prediction of Chess Diagram Scores Using Artificial Neural Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Constantin Lucian Aldea,
  • Razvan Bocu,
  • Delia Monica Duca Iliescu

摘要

The paper presents results concerning the research conducted to create an automated process that evaluates and scores any chess diagram in which the variation of an attribute influences the evaluation process in a widely accepted direction. To achieve this, an algorithm will be trained to make its own decisions regarding certain small variations of other properties outside the stable subset.