Title :
Neural network learning in a chess endgame
Author :
Posthoff, Christian ; Schawelski, Stanislaw ; Schlosser, Michael
Author_Institution :
Dept. of Comput. Sci., Chemnitz-Zwickau Univ. of Technol., Germany
fDate :
27 Jun-2 Jul 1994
Abstract :
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
Keywords :
games of skill; learning (artificial intelligence); neural nets; chess endgame; endgame database; neural network learning; Chemical technology; Computer science; Databases; Intelligent networks; Law; Legal factors; Network synthesis; Neural networks; Pattern recognition; Speech recognition;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374786