pktools  2.6.7
Processing Kernel for geospatial data

regression with artificial neural network (multi-layer perceptron)


Usage: pkregann -i input -t training [-ic col]* [-oc col]* -o output

Options: [-from row] [-to row] [-cv size] [-nn number]

Advanced options: [–offset value] [–scale value] [–connection rate] [–learning rate] [–maxit number]


The utility pkregann performs a regression based on an artificial neural network. The regression is trained from the input (-ic) and output (-oc) columns in a training text file. Each row in the training file represents one sampling unit. Multi-dimensional input features can be defined with multiple input options (e.g., -ic 0 -ic 1 -ic 2 for three dimensional features).