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Auto-associative Neural Network Based Concrete Crack Detection

  • A. Diana AndrushiaEmail author
  • N. Anand
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 766)

Abstract

Crack is an important sign to indicate the health of the concrete structures. It is mandatory to detect the cracks in the concrete structures. This paper presents a method for automatic detection of concrete cracks. Auto-associative neural network is used to detect the cracks. Initially, the necessary features are extracted from the input images which is given to the training algorithm to train the system. The experimental output produces reliable results in terms of training and testing accuracies.

Keywords

Concrete crack Crack detection Classification Auto-associative neural network 

Notes

Acknowledgements

The authors wish to acknowledge the Science and Engineering Research Board, Department of Science and Technology of the Indian Government for the financial support (YSS/2015/001196) provided for carrying out this research.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of ECEKarunya Institute of Technology & SciencesCoimbatoreIndia
  2. 2.Department of Civil EngineeringKarunya Institute of Technology & SciencesCoimbatoreIndia

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