An control approach to robust learning of feedforward neural networks
โ Scribed by Xingjian Jing
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 412 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0893-6080
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
Conventional ship autopilots are based on proportional, integral and derivative (PID) algorithms, and are generally set to work under specific conditions. Changes in either the vessel's handling characteristics or environmental conditions means that the system is not working at its optimal point. Th
An alternative methodology based on artificial neural networks is proposed to be a complementary tool to other conventional methods to study controlled drug release. Two systems are used to test the approach; namely, hydrocortisone in a biodegradable matrix and rhodium (II) butyrate complexes in a b