Abstract
The microARTMAP was operated in two modes, both in the training mode and in the testing mode. It was trained to recognize hand written alphabets. The microARTMAP was also augmented with a moment-based feature extractor to recognize hand written characters and was found to perform well for slight variations with increased sample size. The microARTMAP gives promising solutions to practical problems in civil engineering like classification of soil problem, finding the load from yield pattern of a plate and finding earthquake parameters from a given response spectrum.
An Erratum can be found at http://dx.doi.org/10.1007/978-3-540-85130-1_11
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
David, V.K., Rajasekaran, S. (2009). Retracted Chapter: Applications of MicroARTMAP. In: Pattern Recognition using Neural and Functional Networks. Studies in Computational Intelligence, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85130-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-85130-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85129-5
Online ISBN: 978-3-540-85130-1
eBook Packages: EngineeringEngineering (R0)