Performance improvements for a neural network detector

In this paper, a neural detector is purposed. It can be applied to binary detection problems such as those found in radar or sonar. Topics about designing the structure, training procedure and evaluating the performance, are discussed. The detector optimization is based on the use of a criterion function that yields a solution significantly superior to the typical sum-of-square-error. Using a modeled input, its performance is evaluated by Monte Carlo trials. As a result, receiver operating characteristics and detection curves are presented.