JLCNN: An object-oriented Java package for low complexity neural networks

  • Dogaru I
  • Dogaru R
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Abstract

In this paper, a Java object-oriented package (abbreviated JLCNN) is
presented. Its objective is to implement several low complexity neural
networks architectures, for further use in various embedded systems
applications. The main advantages of the JLCNN package are the rapid
development of various applications based on low complexity neural
architectures and the easiness in porting such neural architectures on
various computing platforms. As any other object-oriented library it
allows reducing the development time for a new software product and
provides convenient code maintenance, reusability and portability. The
library is also useful for research and educational purposes, as a basic
kernel on which new modules can be easily added. For instance it may be
expanded to image processing applications.

Author-supplied keywords

  • low complexity
  • neural network
  • object oriented-programming

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Authors

  • Ioana Dogaru

  • Radu Dogaru

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