Problems which are well suited to neural networks are those in which there are large sets of examples, the task involves associating objects in one set with objects in another set, the problem is not easily solved using another approach, or the problem requires recognition of patterns from incomplete, noisy, or partially incorrect input. In addition, neural networks are appropriate for applications requiring fault tolerance. If a connection or processing element were to fail, the network would experience a graceful degradation in accuracy rather than a complete failure.
DACS Newsletter Summer 1993
Software Tech News
Volume: 11 Number: 4
