Referenced Items are not available for this document.
The development and application of neural networks are presented from an engineering perspective. It is stated that neural computing is a collection of mathematical techniques that have been gaining growing acceptance as plug-compatible replacements for statistical and other data-modeling techniques. Two of these techniques, function approximation and clustering, are discussed. The forces shaping the future of neural networking systems, including plug compatibility, hybrid systems-neural computing concepts integrated with expert systems, fuzzy logic, and genetic algorithms-and application specification systems, are reviewed.<
Published in:
Communications Magazine, IEEE
(Volume:30
,
Issue:
9
)
Date of Publication: Sept. 1992
- Page(s):
- 50 - 53 vol.2
- ISSN :
- 0163-6804
- INSPEC Accession Number:
- 4283630
- Digital Object Identifier :
- 10.1109/35.156804
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sept. 1992
- Sponsored by :
- IEEE Communications Society
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