Definitions for "RMS error"
See Root Mean Square Error.
orms, is computed by summing the output layer errors for all examples in a training or test set, dividing the sum by the total number of examples and the number of the output layer neurons, and taking the square root of the resultant. The output layer error is computed by summing the squares of the individual neuron errors with respect to the desired output. An individual output-layer neuron's error is set to zero if it is less than the margin.
Root Mean Square error. The distance between the input (source) location of a GCP and the retransformed location for the same GCP. Measure used to assess the accuracy of geometric correction. See Chapter 6.