
doi: 10.1002/cae.10033
AbstractIn optimization problems, neural networks have been proved as an efficient method. Because of this, students of Engineering should learn this tool properly in subjects as “Optimal Control” or “Intelligent Control.” In this paper, a planning for neural networks teaching is proposed. As tool, Evenet‐2000, a Java‐based toolkit which allows to design and train neural networks with arbitrary architecture, is used. © 2003 Wiley Periodicals, Inc. Comput Appl Eng Educ 11: 1–5, 2003; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.10033
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
