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Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors

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Matlab Implementation of Neural Networks

Matlab implementation of Neural Networks with computational results for Control System with five Ultrasonic Sensors.
DOI

Reference to:

Valentyn N Sichkar. Matlab implementation of Neural Networks Results for Control System of five Ultrasonic sensors // GitHub platform. DOI: 10.5281/zenodo.1317896

Related works:

Description

System controls the statements around the object by checking the distances with five Ultrasonic Sensors. The Sensors work Separately, in Pairs, in Triples, in Quad and all Five together. The Neural Networks are implemented for all of these different approaches. Neural Networks show the results in form of "Alarm" and "Warning". The intervals for each sensor in each communication form are shown in the figures below. The Neural Networks are already adjusted and all Weights and Biases are set. All Neural Networks have the same Input Vector which is the current value of each sensor.

Content

Code (it'll send you to appropriate file):


Experimental results (figures and tables on this page):

Results


NN_Separately


Rules_Separately


Matrices_Separately


NN_for_Pairs


Rules_for_Pairs


Matrices_for_Pairs


NN_for_Triples


Rules_for_Triples


Matrices_for_Triples


NN_for_Quad


Rules_for_Quad


Matrices_for_Quad


NN_for_Five


Rules_for_Five


Matrices_for_Five


MIT License

Copyright (c) 2018 Valentyn N Sichkar

github.com/sichkar-valentyn

Reference to:

Valentyn N Sichkar. Matlab implementation of Neural Networks Results for Control System of five Ultrasonic sensors // GitHub platform. DOI: 10.5281/zenodo.1317896