Modelling spatial interaction using a neural net
作者： Stan Openshaw
DOI: 10.1007/978-3-642-77500-0_10
关键词:
摘要: Neurocomputing has the potential to revolutionise many areas of urban and regional modelling by providing a general purpose systems tool in applications where data exist. This chapter examines empirical performance feedforward neural net as basis for representing spatial interaction contained within journey work data. The representation is compared with various types conventional model. It concluded that there considerable more this related areas.
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sci-hub.st 参考文章(21)
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