An Improved Chess Machine based on Artificial Neural Networks
作者： Diwas Sharma , Udit Kr. Chakraborty
DOI:
关键词: Brute-force attack 、 Artificial intelligence 、 Deep blue 、 Resource (project management) 、 Adaptive computing 、 Artificial neural network 、 Computer science
摘要: Numerous published studies revealed that various researchers have attempted to build a program learns play cognitive games, given little or no earlier knowledge about the rule of game. A usual chess playing machine thoroughly explores moving possibilities from chessboard configuration choose what next best move make. The bruteforce searching technique used by Deep Blue engine has made vast impact in ground artificial intelligence, but still found be resource hungry. This paper, with concept Artificial Neural Networks presents very simple and efficient approach develop an intelligent which can assist hint possible within game using evolutionary adaptive computing on learning human grandmasters.
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