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 PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT. AYO/AWALE/AWARI GAME STRATEGY PREDICTION USING NEURAL NETWORK
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PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT. AYO/AWALE/AWARI GAME STRATEGY PREDICTION USING NEURAL NETWORK

автор Adebola M. издательство Книга по Требованию Книги
Cтраниц 76        мягкая обложка       
Аннотация:As the game commences, the seeds are distributed in fours in each pit. This artificial intelligence is compared with the naturally occurring one. The board has twelve pits, six pits on each side and forty-eight seeds in all. All implementations was in C language as a proof of concept. It is a count-and-capture, two-persons-zero-sum strategic game. In this book, the basic neural network technology was discussed as a methodical paradigm in building artificial intelligence. Ayo otherwise known as Awale or Awari, belongs to the family of board games called Mancala. As a sample, the eXclusive-OR (XOR) network was modeled and implemented. The Ayo game strategies was modeled and implemented too. The goal is that one player capture more seeds than the other using better strategies. Learning as a process of knowledge acquisition was enunciated and its major types illustrated. Single layer and multilayer model of neural network was outlined. Varying experimental tests and results were discussed. Mention was made of neural network application areas in the past, present and future.
Автор: Adebola M.
Издательство: Книга по Требованию
Год:2010
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Поиск: PREDICTING AYO GAME STRATEGY USING NEURAL NETWORK-BASED REFINEMENT. AYO/AWALE/AWARI GAME STRATEGY PREDICTION USING NEURAL NETWORK
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
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