bokomslag Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm
Psykologi & pedagogik

Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm

Craig W Rizzo

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  • 80 sidor
  • 2012
The selection of salient features and an appropriate hidden layer architecture contributes significantly to the performance of a neural network. A number of metrics and methodologies exist for estimating these parameters. This research builds on recent efforts to integrate feature and architecture selection for the multi-layer perceptron. In the first stage of work a current algorithm is developed in a parallel environment, significantly improving its efficiency and utility. In the second stage, improvements to the algorithm are proposed. With regards to feature selection, a common random number (CRN) addition is presented. Two new methods of architecture selection are examined, including an information criterion and a signal-to-noise based procedure. These methodologies are shown to improve algorithm performance.
  • Författare: Craig W Rizzo
  • Format: Pocket/Paperback
  • ISBN: 9781288306817
  • Språk: Engelska
  • Antal sidor: 80
  • Utgivningsdatum: 2012-11-16
  • Förlag: Biblioscholar