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@ARTICLE{Thimm-97.5,
                      author = {Thimm, Georg and Fiesler, Emile},
                    keywords = {Boolean logic, connectionism, high order neural network, high order perceptron, ontogenic neural network},
                    projects = {Idiap},
                       title = {Two neural network construction methods},
                     journal = {Neural Processing Letters},
                      volume = {6},
                      number = {01},
                        year = {1997},
                    abstract = {Two low complexity methods for neural network construction, that are applicable to various neural network models, are introduced and evaluated for high order perceptrons. The methods are based on a Boolean approximation of real-valued data. This approximation is used to construct an initial neural network topology which is subsequently trained on the original (real-valued) data. The methods are evaluated for their effectiveness in reducing the network size and increasing the network's generalization capabilities in comparison to fully connected high order perceptrons.},
ipdmembership={learning},
}