国际象棋终局中的神经网络学习

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374786

C. Posthoff, S. Schawelski, M. Schlosser

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引用次数: 4

摘要

本文展示了如何将终局数据库(即信息项目的完整集合)中的知识转化为神经网络的实验。在作者看来，这是神经网络在国际象棋游戏中的第一次应用。由于复杂性，我们不可能将国际象棋作为一个整体来处理，而只能处理一个小的终局。讨论了结果和悬而未决的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural network learning in a chess endgame

The paper shows experiments how to transform knowledge from an endgame database (i.e. a complete collection of information items) into a neural network. In the authors' opinion, it is the first usage of a neural network in the game of chess. Because of complexity it was not possible to deal with the game of chess as a whole, but only with a small endgame. Results and open questions are discussed.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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