عنوان المقالة: Supervised feed forward neural networks for Smart chessboard based on FPGA
الاء حمزة عمران | Alaa Hamza Omran | 6420
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
, Yaser M. Abid, Alaa Hamza, Rouqia Jwad
الملخص الانجليزي
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 paper, 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 proposal smart chessboard trained using neural network with feed forward neural networks algorithms which determine the movements for each piece on the chessboard squares.
تاريخ النشر
10/07/2018
الناشر
Journal of Engineering and Applied Science
رقم المجلد
13
رقم العدد
11
رابط الملف
تحميل (191 مرات التحميل)
الكلمات المفتاحية
Neural Network, Smart Chessboard, Artificial algorithms, Chess game, intelligent controller, feed forward algorithm.
رجوع