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15.33. Combining Two Trained Networks

Applies to: NeuralTools 6.x/7.x

I have two different data sets with the same dependent variable (output), and I have trained them separately. Can I combine them to provide even better predictions?

There is some literature in the field of machine learning about combining multiple models to arrive at a single prediction. You want to use search terms like "ensemble methods" and "combining classifiers".

This paper uses an ensemble model in NeuralTools for credit evaluation: "On the Use of Ensemble Models for Credit Evaluation" by Albert Fensterstock, Jim Salters and Ryan Willging, published in The Credit and Financial Management Review's issue dated Fourth Quarter 2013. The paper gives some additional references:

Dietterich, Thomas G. (2000) Ensemble Methods in Machine Learning
Kuncheva, L. and Whitaker, C. (2003) Measures of Diversity in Classifier Ensembles
Mitchell, Tom M. (1997) Machine Learning
Schwenk, Holger and Benggio, Yoshua (2000) Neural Computation
Sollich, Peter and Krogh, Anders. (1996) Learning with Ensembles: How Overfitting Can Be Useful
Specht, Donald F. (1989) Probabilistic Neural Networks
Zenko, Bernard (2004) Is Combining Classifiers Better Than Selecting the Best One?

Last edited: 2015-09-03

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