Application of neural network and its differential to the mutual coupling effects of sonar arrays

Kun Chnu Lee, Jhen Yan Jhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper contains two stages. In the first stage, the neural network is utilized to model and predict the mutual coupling effect of sonar array. In the second stage, the differential on such a neural network is utilized to optimize the mutual coupling effect of sonar array. The main advantage of the proposed method is that the differential of a neural network can be directly carried out from the original neural network. It is well known that the neural network requires only some training data sets and can predict the remaining data sets. Therefore, with the use of these two stages, one can easily optimize the mutual coupling effect of sonar array from some training data sets. Optimization can be obtained without knowing the whole distribution of the mutual coupling effect of sonar array.

Original languageEnglish
Title of host publication2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF
PublisherIEEE Computer Society
ISBN (Print)1424401380, 9781424401383
DOIs
Publication statusPublished - 2006 Jan 1
EventOCEANS 2006 - Asia Pacific - , Singapore
Duration: 2007 May 162007 May 19

Publication series

NameOCEANS 2006 - Asia Pacific

Other

OtherOCEANS 2006 - Asia Pacific
CountrySingapore
Period07-05-1607-05-19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Ocean Engineering

Fingerprint Dive into the research topics of 'Application of neural network and its differential to the mutual coupling effects of sonar arrays'. Together they form a unique fingerprint.

  • Cite this

    Lee, K. C., & Jhang, J. Y. (2006). Application of neural network and its differential to the mutual coupling effects of sonar arrays. In 2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF [4393883] (OCEANS 2006 - Asia Pacific). IEEE Computer Society. https://doi.org/10.1109/OCEANSAP.2006.4393883