Mutual-impedance calculation for arrays of sonar transducers by integration on neural networks

Kun Chou Lee; Jhen Yan Jhang

doi:10.1109/OCEANSAP.2006.4393844

Mutual-impedance calculation for arrays of sonar transducers by integration on neural networks

Kun Chou Lee, Jhen Yan Jhang

Department of Systems and Naval Mechatronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, the mutual-impedances within arrays of sonar transducers are calculated by integration on neural networks. The multi-dimensional integrations appearing in mutual-impedance formulations are replaced by integration on neural networks. Initially, the integrand is modeled by a trained neural network. The multi-dimensional integrations on the integrand can then be replaced by integrations on the output of neural network. Neither numerical nor artificial integration operation is required. With this replacement, the computation efforts are well reduced. Numerical examples show that the results calculated by the proposed method in this paper are consistent with those calculated by other existing studies. The method proposed in this paper can be easily applied to many other engineering problems.

Original language	English
Title of host publication	2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF
Publisher	IEEE Computer Society
ISBN (Print)	1424401380, 9781424401383
DOIs	https://doi.org/10.1109/OCEANSAP.2006.4393844
Publication status	Published - 2006 Jan 1
Event	OCEANS 2006 - Asia Pacific - , Singapore Duration: 2007 May 16 → 2007 May 19

Publication series

Name	OCEANS 2006 - Asia Pacific

Other

Other	OCEANS 2006 - Asia Pacific
Country/Territory	Singapore
Period	07-05-16 → 07-05-19

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Ocean Engineering

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10.1109/OCEANSAP.2006.4393844

Cite this

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title = "Mutual-impedance calculation for arrays of sonar transducers by integration on neural networks",

abstract = "In this paper, the mutual-impedances within arrays of sonar transducers are calculated by integration on neural networks. The multi-dimensional integrations appearing in mutual-impedance formulations are replaced by integration on neural networks. Initially, the integrand is modeled by a trained neural network. The multi-dimensional integrations on the integrand can then be replaced by integrations on the output of neural network. Neither numerical nor artificial integration operation is required. With this replacement, the computation efforts are well reduced. Numerical examples show that the results calculated by the proposed method in this paper are consistent with those calculated by other existing studies. The method proposed in this paper can be easily applied to many other engineering problems.",

author = "Lee, {Kun Chou} and Jhang, {Jhen Yan}",

year = "2006",

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day = "1",

doi = "10.1109/OCEANSAP.2006.4393844",

language = "English",

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publisher = "IEEE Computer Society",

booktitle = "2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF",

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T1 - Mutual-impedance calculation for arrays of sonar transducers by integration on neural networks

AU - Lee, Kun Chou

AU - Jhang, Jhen Yan

PY - 2006/1/1

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N2 - In this paper, the mutual-impedances within arrays of sonar transducers are calculated by integration on neural networks. The multi-dimensional integrations appearing in mutual-impedance formulations are replaced by integration on neural networks. Initially, the integrand is modeled by a trained neural network. The multi-dimensional integrations on the integrand can then be replaced by integrations on the output of neural network. Neither numerical nor artificial integration operation is required. With this replacement, the computation efforts are well reduced. Numerical examples show that the results calculated by the proposed method in this paper are consistent with those calculated by other existing studies. The method proposed in this paper can be easily applied to many other engineering problems.

AB - In this paper, the mutual-impedances within arrays of sonar transducers are calculated by integration on neural networks. The multi-dimensional integrations appearing in mutual-impedance formulations are replaced by integration on neural networks. Initially, the integrand is modeled by a trained neural network. The multi-dimensional integrations on the integrand can then be replaced by integrations on the output of neural network. Neither numerical nor artificial integration operation is required. With this replacement, the computation efforts are well reduced. Numerical examples show that the results calculated by the proposed method in this paper are consistent with those calculated by other existing studies. The method proposed in this paper can be easily applied to many other engineering problems.

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DO - 10.1109/OCEANSAP.2006.4393844

M3 - Conference contribution

SN - 1424401380

SN - 9781424401383

T3 - OCEANS 2006 - Asia Pacific

BT - 2007 16th IEEE International Symposium on the Applications of Ferroelectrics, ISAF

PB - IEEE Computer Society

T2 - OCEANS 2006 - Asia Pacific

Y2 - 16 May 2007 through 19 May 2007

ER -

Mutual-impedance calculation for arrays of sonar transducers by integration on neural networks

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