Wireless Sensor Network Development: Explosion Locator Using Artificial Neural Network


Leah A. Alindayo, Marven E. Jabian, Vol. 2, No. 2, pp. 31-36, Jun. 2020
10.22662/IJASC.2020.2.2.031, Full Text:
Keywords: ANN, Computer Applications, Computer Engineering, Levenberg-Marquart, Wireless Sensor Networks.

Abstract

This paper think about the huge advancement in the innovation of sensor of remote interchanges and remote sensor applications. The created framework that identify and passes on the impacts blast area that will push the power to reaction right away. In this paper, improvement of remote sensor arrange (think about the three sensors) were painstakingly put in an area to effectively assemble information. The information accumulated from these three sensors were fed to artificial neural network (ANN) for preparing. The remote sensor arrange framework is equipped for gathering, putting away and breaking down information from a few devices installed in the framework and the preparation the framework to recognize the impacts blast. Results show that the multi-sensor combination and coordination assumes a basic job in the general plan and execution upgrade of explosion locator being created. The fit is about perfect for train, looking at and traverse 0.9999 the entire reaction of precision by means of percent error with the most extreme 0.067731 has been accomplished.


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Cite this article
[APA Style]
Leah A. Alindayo and Marven E. Jabian (2020). Wireless Sensor Network Development: Explosion Locator Using Artificial Neural Network. International Journal of Advanced Science and Convergence, 2(2), 31-36. DOI: 10.22662/IJASC.2020.2.2.031.

[IEEE Style]
L. A. Alindayo and M. E. Jabian, "Wireless Sensor Network Development: Explosion Locator Using Artificial Neural Network," International Journal of Advanced Science and Convergence, vol. 2, no. 2, pp. 31-36, 2020. DOI: 10.22662/IJASC.2020.2.2.031.

[ACM Style]
Leah A. Alindayo and Marven E. Jabian. 2020. Wireless Sensor Network Development: Explosion Locator Using Artificial Neural Network. International Journal of Advanced Science and Convergence, 2, 2, (2020), 31-36. DOI: 10.22662/IJASC.2020.2.2.031.