Abstract
Linear decision tree classifiers and LVQ-networks divide the input space into convex regions that can be represented by membership functions. These functions are then used to determine the weights of the first layer of a feedforward network. Subject classification: AMS(MOS) 68T05, 92B20
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Bioch, J.C., Carsouw, R., Potharst, R. (1997). On the Use of Simple Classifiers for the Initialisation of One-Hidden-Layer Neural Nets. In: Ellacott, S.W., Mason, J.C., Anderson, I.J. (eds) Mathematics of Neural Networks. Operations Research/Computer Science Interfaces Series, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6099-9_16
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