Estimating Diffusion Coefficients of a Micellar System Using an Artificial Neural Network
β Scribed by Brajesh K. Jha; Sanjeev S. Tambe; Bhaskar D. Kulkarni
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 334 KB
- Volume
- 170
- Category
- Article
- ISSN
- 0021-9797
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract The main objective of the present investigation is to predict longitudinal dispersion coefficient (__K__~x~) in natural streams using artificial neural network (ANN) technique based on most famous training functions such as Trainlm, Trainrp, Trainscg, Trainoss, and so on. To achieve the
Texture orientation is one of the most important attriof heart tissue obtained through optical sectioning. The orientabutes used in biomedical and clinical image interpretation. It provides tions of image texture in these images provide the critical conneccritical clues of continuity and connectivit
For an adequate control of the reductant flow in selective catalytic reduction of NO x in diesel exhaust, a tool has to be available to accurately and quickly predict the engine's NO x emission. For these purposes, elaborate computer models and expensive NO x analyzers are not feasible. The applicat