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paper 39, Stability Analysis of a Partially Connected Feedback Neural Network

In Session 4 Computer Engineering and Technology from: International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
Author(s)/Editor(s): Jianhong Zhou
859735 Cover Image
Published: 2011
Author(s)/Editor(s): Didi Wang, Changle Zhou, Pei-Chann Chang, Wei-Hsiu Huang, Jheng-Long Wu, Kai-Ting Chang
Chapter Page Count: 6 pages

Table of Contents

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Chapter Contents

  • Abstract
  • Key Words
  • 1. Introduction
  • 2. Problem Statement and Preliminaries
  • 3. Control Design
  • 3. Experiment Tests
  • 5. Conclusions
  • References

Excerpt

One of the major difficulties in business and economics is to manage data accurately. Currently, approaches in stock forecasting have been rough set theory, time series and artificial neural networks. One of the most popular types of neural network has been the back propagation Neural Network. However, there are still problems with these models and there is a hidden layer. New models-Partially Connected Neural Evolutionary model (PARCONE) can correct this flaw. Parcone for the discovery of the more hidden knowledge stored within the historic time series data are needed in order to deal with the timely trading problem, i.e., buy, hold or sell within a time constraint.



©2011 ASME

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Print ISBN:

9780791859735

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