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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publisher
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/19956/ http://umpir.ump.edu.my/id/eprint/19956/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/19956/http://umpir.ump.edu.my/id/eprint/19956/
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