Reorganizing Neural Network System for Two Spirals and Linear Low-Density Polyethylene Copolymer Problems
This paper presents an automatic system of neural networks (NNs) that has the ability to simulate and predict many of applied problems. The system architectures are automatically reorganized and the experimental process starts again, if the required performance is not reached. This processing is con...
Saved in:
Main Authors: | G. M. Behery, A. A. El-Harby, Mostafa Y. El-Bakry |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2009-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2009/721370 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The effect of electrically conductive carbon black on properties of the linear low-density polyethylene
by: O. V. Kropotin, et al.
Published: (2023-10-01) -
Diffusion Characteristics of Toluene into Natural Rubber/Linear Low Density Polyethylene Blends
by: Henry C. Obasi, et al.
Published: (2009-01-01) -
Differences in Nanoplastic Formation Behavior Between High-Density Polyethylene and Low-Density Polyethylene
by: Hisayuki Nakatani, et al.
Published: (2025-01-01) -
The biodegradation of low-density polyethylene by Bacillus species
by: Felicia E. Uwakwe, et al.
Published: (2025-02-01) -
Optimization of Abrasive Wear Characteristics of Polyethylene/Acrylate Copolymer Nanocomposites
by: S. Chockalingam, et al.
Published: (2022-01-01)