Implementation of the C-mantec neural network constructive algorithm in an arduino uno microcontroller

Authors:
Francisco Ortega-Zamorano;José L. Subirats;José M. Jerez;Ignacio Molina;Leonardo Franco
Affiliations:
Department of Computer Science, ETSI Informática, Universidad de Málaga, Spain;Department of Computer Science, ETSI Informática, Universidad de Málaga, Spain;Department of Computer Science, ETSI Informática, Universidad de Málaga, Spain;Max Planck Institute, Munich, Germany;Department of Computer Science, ETSI Informática, Universidad de Málaga, Spain
Venue:
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Year:
2013

Citing 6
Cited 0

Real-Time Systems: Design Principles for Distributed Embedded Applications

Real-Time Systems: Design Principles for Distributed Embedded Applications
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Embedded System Design

Embedded System Design
Wireless sensor network survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
Practical Arduino: Cool Projects for Open Source Hardware

Practical Arduino: Cool Projects for Open Source Hardware
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

A recently proposed constructive neural network algorithm, named C-Mantec, is fully implemented in a Arduino board. The C-Mantec algorithm generates very compact size neural architectures with good prediction abilities, and thus the board can be potentially used to learn on-site sensed data without needing to transmit information to a central control unit. An analysis of the more difficult steps of the implementation is detailed, and a test is carried out on a set of benchmark functions normally used in circuit design to show the correct functioning of the implementation.