Design of artificial neural networks system for intelligent chessboard

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.