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Neural network applications on the microcontroller ATMEGA 328

The First International Conference on Engineering, Technology and Applied Business 2014
Batam-Indonesia, 4th December 2014

Paper-JT- 008: Neural network Applications on The Microcontroller ATMEGA 328
Sumantri Kurniawan Ra*, Rifqi A.Fatekhaa
a

Electrical Engineering Department, Batam Polytechnic, Indonesia
*Corresponding author: sumantri@polibatam.ac.id

ABSTRACT
Microcontroller is a cheap component and is usually used in simple control applications. Neural network is one of
the artificial intelligence methods proven to be quite reliable today. Neural network for learning process normally
uses back propagation standard. In addition, feed forward is used for the identification process. However, In this
research, a back propagation neural network will be implemented in ATMega 328 microcontroller, especially when
feed forward and the learning is done on the personal computer (PC). After obtaining the data weights, the weights
for neural network will then be implemented in micrcontroller. The final result shows that the microcontroller is able
to process the feed forward neutral network. The memory capacity used is 32 KB in 2 hidden layers and 4 hidden
nodes in each layer.
Keywords: neural network, microcontroller, feed forward, standard back propagation


Politeknik Negeri Batam, ICC Universiti Teknologi Malaysia, Asian Fellowship of Academic Professionals (AFAP)

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