This Topic has been deleted in future versions of the GIS&T Body of Knowledge
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Neural network schemes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Appraise the relative value of neural networks or alternative inductive machine learning methods, such as decision trees or genetic classifiers, in a hypothetical or real case
Evaluate the success of neural network schemes
Implement a neural network classification scheme for a complex data set
This Topic has been deleted in future versions of the GIS&T Body of Knowledge
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Neural network schemes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).