![]() ![]() Since in that very short time teams play at most 12 games, it’s impossible to get a complete all-round. The regular season is played in 15 consecutive weeks between August and December and 115 teams compete for a place in the final. The National College Football Championship is defined every January by the two best teams from Division I-A, which is the most important. A comparison with other computer rankings will show the good approximation achieved by a NN ranking that predicted 80 % of the results of the end of the season. A competitive NN was built, validated, and trained with a bivalent purpose: to rank the teams according to their performance during the regular season and, based on that raking, to predict results. This paper describes an approach to the problem of ranking college football teams that determines two competitors for the National Championship. It is mostly a review of someone else’s paper on the subject, except that I wrote the network in Excel and ran it on that year’s football season games. What follows is a paper that I wrote in the Spring of 2001 for an “Introduction to Neural Networks” class that I took as part of my Master’s degree. The usual image of an artificial neural network:
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