A Feed-Forward Neural Network Approach for Energy-Based Acoustic Source Localization
The localization of an acoustic source has attracted much attention in the scientific community, having been applied in several different real-life applications. At the same time, the use of neural networks in the acoustic source localization problem is not common; hence, this work aims to show thei...
Main Authors: | Sérgio D. Correia, Slavisa Tomic, Marko Beko |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Journal of Sensor and Actuator Networks |
Subjects: | |
Online Access: | https://www.mdpi.com/2224-2708/10/2/29 |
Similar Items
-
Swarm Optimization for Energy-Based Acoustic Source Localization: A Comprehensive Study
by: João Fé, et al.
Published: (2022-02-01) -
Fast Training Algorithms for Feed Forward Neural Networks
by: Luma N. M. Tawfiq, et al.
Published: (2017-04-01) -
Design Feed Forward Neural Network To Solve Boundary Value Problems
by: Luma. N. M. Tawfiq, et al.
Published: (2013-11-01) -
Prediction of the binary density of the ILs+ water using back-propagated feed forward artificial neural network
by: Shojaee Safar Ali, et al.
Published: (2014-01-01) -
The effect of the threshold function for design feed forward neural network for solving Partial differential equations
by: Dr.Khalid. Mindeel. M Al-Abrahemee
Published: (2017-03-01)