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portada Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm
Type
Physical Book
Author
Publisher
Language
English
Pages
80
Format
Paperback
Dimensions
24.6x18.9x0.4 cm
Weight
0.16 kg.
ISBN13
9781288306817
Categories

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

Craig W. Rizzo (Author) · Biblioscholar · Paperback

Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm - Rizzo, Craig W.

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

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.

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