MODELING AND SIMULATION OF ACOUSTIC SIGNAL TRANSMISSION LOSSES IN SHALLOW WATER CHANNELS USING NEURAL NETWORKS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHOUGAR A.R.; DAVARANI ASLE A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH) Year:2005 | Volume:16 | Issue:2 Page(s): 21-25

Download Full-Text

Persian Verion

View:

788

Download:

Cites:

Information Journal Paper

Title

MODELING AND SIMULATION OF ACOUSTIC SIGNAL TRANSMISSION LOSSES IN SHALLOW WATER CHANNELS USING NEURAL NETWORKS

Author(s)

KHOUGAR A.R. | DAVARANI ASLE A. | Issue Writer Certificate

Keywords

TRANSMISSION LOSSQ4

PASSIVE SONARQ4

ACOUSTIC SIGNALQ4

NEURAL NETWORKSQ4

Abstract

One of the significant factors in ACOUSTIC SIGNAL analysis is the TRANSMISSION LOSS (TL). This factor is vastly dependent on the frequency of the signal, the traveling distance and the propagating medium condition. The propagating medium condition is usually specified in accordance to the kind of channel in which the sound wave travels in. An important type is the shallow water channel. This type of channel is especially useful for PASSIVE SONAR analysis in shallow water applications such as the Persian golf and the Red sea. In this paper a feed forward multilayer neural network is introduced for modeling and prediction of acoustic TRANSMISSION LOSSes. The inputs to the network are the traveling distance, the sound frequency, and the sea state. The process is in line with the way of natural learning and is suitable for online pattern to pattern training as the actual data from the sonar becomes available.

Cites

No record.

References

No record.

Cite

APA: Copy

KHOUGAR, A.R., & DAVARANI ASLE, A.. (2005). MODELING AND SIMULATION OF ACOUSTIC SIGNAL TRANSMISSION LOSSES IN SHALLOW WATER CHANNELS USING NEURAL NETWORKS. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), 16(2), 21-25. SID. https://sid.ir/paper/52547/en

Vancouver: Copy

KHOUGAR A.R., DAVARANI ASLE A.. MODELING AND SIMULATION OF ACOUSTIC SIGNAL TRANSMISSION LOSSES IN SHALLOW WATER CHANNELS USING NEURAL NETWORKS. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH)[Internet]. 2005;16(2):21-25. Available from: https://sid.ir/paper/52547/en

IEEE: Copy

A.R. KHOUGAR, and A. DAVARANI ASLE, “MODELING AND SIMULATION OF ACOUSTIC SIGNAL TRANSMISSION LOSSES IN SHALLOW WATER CHANNELS USING NEURAL NETWORKS,” INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE (ENGLISH), vol. 16, no. 2, pp. 21–25, 2005, [Online]. Available: https://sid.ir/paper/52547/en

Related Journal Papers