The accuracy of a procedural approach to specifying feedforward neural networks for forecasting
โ Scribed by Kua-Ping Liao; Robert Fildes
- Book ID
- 108105624
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 257 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0305-0548
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A new and improved method to feedforward neural network (FNN) development for application to data classification problems, such as the prediction of levels of low-back disorder (LBD) risk associated with industrial jobs, is presented. Background on FNN development for data classification is provided
The general approximation problem of interest to the area of feedforward neural net works is stated. Solutions for som e special cases are given. which include an upper bound on the number ofnodes in hidden layerts ) and the weights for that confi guration. Analytical solutions to the generalfeedfo