| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
J. Lampinen and A. Selonen
ABSTRACT
In this contribution we present a method for constraining the learningof a Multi-Layer Perceptron network with background knowledge. The algorithms presented here can be used to train the partial derivatives of the network to match given numerical values or to minimize a given cost function. Thus the mapping produced by the network can be constrained according to known input-output models, monotonicity conditions, saturation effects, or any other knowledge that is related to the model derivatives. We demonstrate the performance of the proposed training method with artificial data, and also with actual process modeling application. |
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