Evolving processing speed asymmetries and hemispheric interactions in a neural network model
β Scribed by Alexander Grushin; James A. Reggia
- Book ID
- 113813987
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 234 KB
- Volume
- 65-66
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper describes how to build a quality prediction model for complex industrial production processes using dynamic neural networks. It is known that it is difficult to analyze the mechanisms of many complex industrial production processes and build models by employing classical methods. In this
This article describes the application of neural networks and hybrid models to the finishing stage of nylon-6,6 polycondensation in a twin-screw extruder reactor. A planned experiment in the industrial and in the pilot plant was employed to build the neural network and the hybrid model. The hybrid m