2006 6th World Congress on Intelligent Control and Automation 2006
DOI: 10.1109/wcica.2006.1712361
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The Relationship Between the Multi-Collinearity and the Generalization Capability of the Neural Network Forecast Model

Abstract: With the practical problem in application of the neural network in weather forecast, the effect of the learning matrix in neural network forecast model with the multi-collinearity on the generalization capability is researched. The results show, in the context of the same input knot number, whatever the smaller network or the network getting larger, there is few changes in simulation error both the neural network models without or with multi-collinearity, and the mean simulation errors for both of the two type… Show more

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