Abstract
This chapter presents the development of a reconfigurable hardware for classification system of radioactive elements with a fast and efficient response. To achieve this goal is proposed the hardware implementation of subtractive clustering algorithm. The proposed hardware is generic, so it can be used in many problems of data classification, omnipresent in identification systems.
This chapter was developed in collaboration with Marcos Santana Farias.
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Nedjah, N., de Macedo Mourelle, L. (2014). A Reconfigurable Hardware for Subtractive Clustering. In: Hardware for Soft Computing and Soft Computing for Hardware. Studies in Computational Intelligence, vol 529. Springer, Cham. https://doi.org/10.1007/978-3-319-03110-1_7
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DOI: https://doi.org/10.1007/978-3-319-03110-1_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03109-5
Online ISBN: 978-3-319-03110-1
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