Neural networks. A general framework for non-linear function approximation
The focus of this paper is on the neural network modelling approach that has gained increasing recognition in GIScience in recent years. The novelty about neural networks lies in their ability to model non-linear processes with few, if any, a priori assumptions about the nature of the data-generatin...
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Format: | Others |
Language: | de |
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Wiley-Blackwell
2006
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Online Access: | http://epub.wu.ac.at/5493/1/NeuralNetworks.pdf http://dx.doi.org/10.1111/j.1467-9671.2006.01010.x |