✦ LIBER ✦

Colored information from a black box?: Validation and evaluation of neural networks

✍ Scribed by G. Kateman; J.R.M. Smits

Book ID: 102984273
Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 946 KB
Volume: 277
Category: Article
ISSN: 0003-2670
DOI: 10.1016/0003-2670(93)80431-j

No coin nor oath required. For personal study only.

✦ Synopsis

Artificial neural networks are used in many fields and have proven their worth. Until recently the applications in analytical chemistry are scarce, but now many groups are working in this field. One of the reasons for the hesitation in accepting artificial neural networks is the weak scientific understanding of the system. In fact it works as a black box. However, the applications in analytical chemistry so far are so encouraging that more research will be conducted. One very important aspect will be the critical validation of artificial neural networks as long as no sound theoretical background is available. Some criteria will be discussed and some practical examples will be given.

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