Classification of robotic data using artificial neural network

Author

Gopalapillai, Radhakrishnan ; Vidhya, J. ; Gupta, Deepika ; Sudarshan, T.S.B.

Author_Institution

Sch. of Eng., Amrita Vishwa Vidyapeetham, Bangalore, India

fYear

2013

fDate

19-21 Dec. 2013

Firstpage

333

Lastpage

337

Abstract

As time series data are common in the field of science and commerce, time series data analysis has an important role in these areas for extracting information from available data. This paper presents the application of Artificial Neural Networks (ANN) for analyzing huge amount of time series data collected by sensors mounted on a robot navigating in a simulated environment. The Artificial Neural Network system employing back propagation learning algorithm classified different scenarios encountered by the robot using the data collected by sensors.

Keywords

backpropagation; control engineering computing; data analysis; neural nets; path planning; pattern classification; robots; time series; ANN; artificial neural network; backpropagation learning algorithm; information extraction; robot navigation; robotic data classification; sensors; time series data analysis; Artificial neural networks; Neurons; Robot sensing systems; Testing; Time series analysis; Training; Artificial Neural Network; Data mining; back propagation neural network; classification; time series data;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in

Conference_Location

Trivandrum

Print_ISBN

978-1-4799-2177-5

Type

conf

DOI

10.1109/RAICS.2013.6745497

Filename

6745497