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This study shows how artificial neural networks can be used to model consumer choice. Our study focuses on two key issues in neural network modeling — model building and feature selection. Using the cross-validation approach, we address these two issues together and specifically examine the effectiveness of a backward feature selection algorithm for consumer situational choices of communication modes...
Many problems existed in the current grey system model-building, such as the rough exponential model, unsatisfied precision and the poor parallel computation ability. So it was very important to expand the current grey theory and find out an appropriate model building method. There were several ways to combine grey system with neural network, such as "Simple Combination", "Serial Combination",...
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