Modelling the permeability of polymers: a neural network approach
โ Scribed by M. Wessling; M.H.V. Mulder; A. Bos; M. van der Linden; M. Bos; W.E. van der Linden
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 451 KB
- Volume
- 86
- Category
- Article
- ISSN
- 0376-7388
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A simple neural network model for abrasive flow machining process has been established. The effects of machining parameters on material removal rate and surface finish have been experimentally analysed. Based on this analysis, model inputs and outputs were chosen and off-line model training using ba
Polymeric materials are finding increasing application in commercial optical communication systems. Taking advantage of techniques from the field of artificial intelligence, the goal of our research is to construct systems that can computationally design polymer formulations, including polymer optic
The literature has shown that no one model provides the most accurate forecasts. The focus has instead shifted to identifying the characteristics of the time series in order to provide guidelines for choosing the most appropriate extrapolation model. In this paper we test the feasibility of employin