Performance Analysis of Neural Network Detectors by Importance Sampling Techniques

作者：José L. Sanz-gonzález, Diego Andina

摘要

Often, Neural Networks are involved in binary detectors of communication, radar or sonar systems. The design phase of a neural network detector usually requires the application of Monte Carlo trials in order to estimate some performance parameters.

论文关键词：detectors, detection and false alarm probabilities, importance sampling techniques, Monte Carlo simulations, neural networks

论文评审过程：

论文官网地址：https://doi.org/10.1023/A:1018612207016