A Chess game is rather difficult for the beginners
to understand all its rules and conditions. The intelligent
chessboard is used for learning these conditions and positions for
all its pieces. In this paper, an intelligent system is proposed that
helps the users to know all the correct positions of each piece on
the chessboard; furthermore, this system is characterized by the
simplicity of the implementation and the low cost of the hardware
components. As knowing, in chess game there are six pieces which
have different ways to move on the chessboard according to each
player, these pieces are pawn, rooks, knights, queen, bishops and
king. However, the proposed system trained these pieces
individually 64 states for each piece in order to move on the
chessboard squares correctly. A back propagation neural
networks are used in the training algorithm; and LEDs are used
to guide the players to the available correct positions where each
piece can moves on.
Publication Date
11/29/2017
Publisher
2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)
الاء حمزة عمران | Alaa Hamza Omran | 6002