Pi-Sigma神经网络在实时底质分类中的应用

Application of Pi-Sigma neural network to real-time classification of seafloor sediments

本文基于Pi-Sigma神经网络,设计了一种针对水声回波信号的实时底质分类器,它具有运算快速、正确率高的特点,在海试中实现了实时底质分类,取得良好的分类结果。

This paper proposes a real-time sediment classifier for Echo-sounder signal based on the Pi-Sigma neural network method,which has the characteristics of high operation speed and high accuracy. During maritime experimentation. The classifier achieves real-time classification of seafloor sediments and obtains favorable results.