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Parallel Implementation Of An Artificial Neural Network Integrated Feature And Architecture Selection Algorithm by Craig W Rizzo, Paperback
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Parallel Implementation Of An Artificial Neural Network Integrated Feature And Architecture Selection Algorithm by Craig W Rizzo, Paperback
From Craig W Rizzo
Current price: $60.51
From Craig W Rizzo
Parallel Implementation Of An Artificial Neural Network Integrated Feature And Architecture Selection Algorithm by Craig W Rizzo, Paperback
Current price: $60.51
Loading Inventory...
Size: 0.17 x 9.69 x 0.35
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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. | Parallel Implementation Of An Artificial Neural Network Integrated Feature And Architecture Selection Algorithm by Craig W Rizzo, Paperback