Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural network design
Predicting the success of nations at the Summer Olympics using neural networks
Computers and Operations Research
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Football Predictions Based on a Fuzzy Model with Genetic and Neural Tuning
Cybernetics and Systems Analysis
Pattern Recognition, Fourth Edition
Pattern Recognition, Fourth Edition
Advances in Artificial Neural Systems
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Multilayer perceptron (MLP) with back-propagation learning rule is adopted to predict the winning rates of two teams according to their official statistical data of 2006World Cup Football Game at the previous stages. There are training samples fromthree classes: win, draw, and loss. At the new stage, new training samples are selected from the previous stages and are added to the training samples, then we retrain the neural network. It is a type of on-line learning. The 8 features are selected with ad hoc choice.We use the theorem ofMirchandani and Cao to determine the number of hidden nodes. And after the testing in the learning convergence, the MLP is determined as 8-2-3 model. The learning rate and momentum coefficient are determined in the cross-learning. The prediction accuracy achieves 75% if the draw games are excluded.