Fault tolerant Block Based Neural Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Haridass:2010:SSST,
  author =       "Sai sri Krishna Haridass and David H. K. Hoe",
  title =        "Fault tolerant Block Based Neural Networks",
  booktitle =    "42nd Southeastern Symposium on System Theory (SSST
                 2010)",
  year =         "2010",
  month =        "7-9 " # mar,
  pages =        "357--361",
  address =      "University of Texas at Tyler, USA",
  abstract =     "Block Based Neural Networks (BBNNs) have shown to be a
                 practical means for implementing evolvable hardware on
                 reconfigurable fabrics for solving a variety of
                 problems that take advantage of the massive parallelism
                 offered by a neural network approach. This paper
                 proposes a method for obtaining a fault tolerant
                 implementation of BBNNs by using a biologically
                 inspired layered design. At the lowest level, each
                 block has its own online detection and correcting logic
                 combined with sufficient spare components to ensure
                 recovery from permanent and transient errors. Another
                 layer of hierarchy combines the blocks into clusters,
                 where a redundant column of blocks can be used to
                 replace blocks that cannot be repaired at the lowest
                 level. The hierarchical approach is well-suited to a
                 divide-and-conquer approach to genetic programming
                 whereby complex problems are subdivided into smaller
                 parts. The overall approach can be implemented on a
                 reconfigurable fabric.",
  keywords =     "genetic algorithms, genetic programming, EHW,
                 correcting logic, divide-and-conquer approach,
                 evolvable hardware, fault tolerant block based neural
                 networks, massive parallelism, online detection,
                 reconfigurable fabrics, transient errors, fault
                 tolerant computing, neural nets, reconfigurable
                 architectures",
  DOI =          "doi:10.1109/SSST.2010.5442804",
  ISSN =         "0094-2898",
  notes =        "Is this a GP? Also known as \cite{5442804}",
}

Genetic Programming entries for Sai sri Krishna Haridass David H K Hoe

Citations