一种有效的神经网络检测器

An Effective Neural Network Detector

本文提出了一种有效的神经网络检测方法。该方法通过高效的自组织学习过程，使该神经网络对各种噪声或杂波分布能够快速准确地建模，最终能使在各种噪声分布条件下检测效果均逼近最佳检测器的性能。

An effective detection method based on the neural network is proposed in this paper. By the self organizing learning in high efficiency,it can model different kinds of noise or clutter rapidly and accurately.This results in a good detection performance,and this detector can approximate the optimal ones on the condition of different statistical distributions.Finally the experiments have proved the effectiveness of this approach.