DocumentCode
288824
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
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3420
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICNN.1994.374786
Filename
374786
Link To Document