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This keyword indicates number of output (dependent) variables. The input (independent) variables are defined by parameter INPUTS. Each variable is represented as a column in data table. The output variables can be in the data file before or after input variables depending on the value of the REVERSED keyword. The output variables are normalized according to range of activation function of the last layer of neurons. The default range is [0.1,0.9] for logistic function, y=1./(1.+exp(-x)) that is the only one used in this version of the program. The default value of this parameter is {1}. See FAQ if you have questions. You can download a stand-alone version of some programs available at this site. How to cite this applet? |
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