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In this work, we draw attention to prediction of football (soccer) match winner. We propose the deep multilayer neural network based on elastic net regularization that predicts the winner of the English Premier League football matches. Our main interest is to predict the match result (win, loss or draw). In our experimental study, we prove that using open access limited data such as team shots, shots on target, yellow and red cards, etc. the system has a good prediction accuracy and profitability. The proposed approach should be considered as a basis of Oracle engine for predicting the match outcomes.

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This paper discusses the use of genetic algorithms (GA) in a perimeter security CAD system (PSCAD). In this paper we compare the performance of a PSCAD system that uses exhaustive search for optimization with one that uses a genetic algorithm.