On the Application of Inductive Machine Learning Tools to Geographical Analysis
- 1 April 2000
- journal article
- Published by Wiley in Geographical Analysis
- Vol. 32 (2) , 113-139
- https://doi.org/10.1111/j.1538-4632.2000.tb00420.x
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Voice matters in a dictator gameExperimental Economics, 2007
- Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Spectral Pattern Classification ProblemGeographical Analysis, 1999
- Strategies and best practice for neural network image classificationInternational Journal of Remote Sensing, 1997
- An evaluation of some factors affecting the accuracy of classification by an artificial neural networkInternational Journal of Remote Sensing, 1997
- Learning in Single Hidden‐Layer Feedforward Network Models: Backpropagation in a Spatial Interaction Modeling ContextGeographical Analysis, 1996
- A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classificationIEEE Transactions on Geoscience and Remote Sensing, 1995
- Assessing the classification accuracy of multisource remote sensing dataRemote Sensing of Environment, 1994
- Artificial neural networks for land-cover classification and mappingInternational Journal of Geographical Information Science, 1993
- Classification with spatio-temporal interpixel class dependency contextsIEEE Transactions on Geoscience and Remote Sensing, 1992
- Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing, 1990