Feedforward Neural Networks
نویسندگان
چکیده
Feedforward neural networks have been used to perform classifications and to learn functional mappings. This paper compares human performance to feedforward neural networks using back propagation in generating functional relationships from limited data. Many business judgments are made in situations where decision makers are required to infer relationships porn partial, incomplete, and conflicting information. Experiments conducted to compare the interpolations of humans to the behavior of the neural network models are presented. The experiments are described and the results and their implications to designing humancomputer interfaces in Decision Support Systems are discussed.
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تاریخ انتشار 1999