Indoor positioning using artificial neural network with field programmable gate array implementation

Indoor positioning using artificial neural network with field programmable gate array implementation

Indoor positioning required fast and accurate result. This paper applied the artificial neural network (ANN) as a system for calculating the target in indoor environment. To speed up the calculation time, ANN then is run into field programmable gate array (FPGA). Since the original sigmoid function...

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Bibliographic Details
Main Authors: Syahrulanuar, Ngah, Rohani, Abu Bakar, Suryanti, Awang
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/19956/
http://umpir.ump.edu.my/id/eprint/19956/1/49.%20Indoor%20Positioning%20Using%20Artificial%20Neural%20Network%20with%20Field%20Programmable%20Gate%20Array%20Implementation1.pdf

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