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

Rizzo, Craig W

Softcover

ISBN 10: 1288306814 ISBN 13: 9781288306817

Publisher: Biblioscholar, 2012

Synopsis

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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Edition details

• Publisher: Biblioscholar
• Publication date: 2012
• Language: English
• ISBN 10: 1288306814
• ISBN 13: 9781288306817
• Binding: Paperback
• Number of pages: 78