Performance measures for neural nets using Johnson distributions

A probability distribution for multilayer perceptron artificial neural net outputs is derived, assuming a sigmoidal activation function. This distribution is known to be a member of the Johnson system of distributions. Using this distribution, theoretical receiver operating characteristic curves can be developed to obtain recognition differential values for corresponding values of the probability of false alarm. The application of these techniques for the detection of broadband signals is presented.<>