TY  - JOUR
T1  - Supervised Feed Forward Neural Networks for Smart Chessboard Based on FPGA
AU - M. Abid, Yaser AU - Omaran, Alaa Hamza AU - Jwad, Ruqaia 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 11
SP  - 4093
EP  - 4098
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.4093.4098
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.4093.4098
KW  - Neural network
KW  -smart chessboard
KW  -artificial algorithms
KW  -chess game
KW  -intelligent controller
KW  -feed forward algorithm
AB  - Chess game is considered as the one of the most complex game due to its rules and conditions. It is
rather difficult to the beginners to learn all its rules and conditions of movements for each piece in the chess
game to be able from playing the game. Today, technologies used to help a human for solving their problems
in this study, a smart chessboard designed to guide the players with the next available positions for each piece
on the chessboard according to the current position. The proposed smart chessboard trained using neural
network with feed forward neural networks algorithms which determine the movements for each piece on the
chessboard squares.
ER  -