-
Anglický jazyk
Parallel Implementation of an Artificial Neural Network Integrated Feature and Architecture Selection Algorithm
Autor: 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... Viac o knihe
Na objednávku
52.25 €
bežná cena: 55.00 €
O knihe
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.
- Vydavateľstvo: Tradd Street Press
- Rok vydania: 2012
- Formát: Paperback
- Rozmer: 234 x 156 mm
- Jazyk: Anglický jazyk
- ISBN: 9781288306817
Nemecký jazyk 
Španielsky jazyk 