@inproceedings{6ccbed7e74374618a9373bd1c716aab3,
title = "Internal measuring models in trained neural networks for parameter estimation from images",
abstract = "The internal representations of 'learned' knowledge in neural networks are still poorly understood, even for backpropagation networks. The paper discusses a possible interpretation of learned knowledge of a network trained for parameter estimation from images. The outputs of the hidden layer are the internal components of the output parameters. The input-to-hidden weight maps, functioning as a kind of internal measuring model of the parameter components, include statistical features of the training set and seem to have a clear physical and geometrical meaning",
keywords = "IR-16504, METIS-113389",
author = "Tian-Jin Feng and T.J. Feng and Z. Houkes and Korsten, {Maarten J.} and Spreeuwers, {Lieuwe Jan}",
year = "1992",
month = apr,
day = "7",
language = "English",
isbn = "0-85296-543-5",
publisher = "IEEE",
pages = "230--233",
booktitle = "Proceedings 4th International Conference on Image Processing and its Applications",
address = "United States",
note = "4th International Conference on Image Processing and its Applications 1992 ; Conference date: 07-04-1992 Through 09-04-1992",
}