Neural Network, Genetic, and Fuzzy Logic Models of Spatial Interaction:
作者： S Openshaw
DOI: 10.1068/A301857
关键词: Factor (programming language) 、 Spatial interaction 、 Orders of magnitude (voltage) 、 Benchmark data 、 Computer science 、 Set (abstract data type) 、 Machine learning 、 Artificial intelligence 、 Artificial neural network 、 Data mining 、 Spatial Interaction Model 、 Fuzzy logic
摘要: The author investigates the extent to which smart computational methods can be used create new and better performing types of spatial interaction model. He briefly describes application three different computationally intensive modelling technologies compares performance resulting models on a benchmark data set. It would appear that improvements up factor two obtained at cost few orders magnitude increase in compute times.
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