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

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

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.

SKU	Unavailable
ISBN 13	9781288306817
ISBN 10	1288306814
Title	Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm
Author	Craig W Rizzo
Condition	Unavailable
Binding Type	Paperback
Publisher	Biblioscholar
Year published	2012-11-16
Number of pages	80
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.