A conceptual tool with which to assess the learning ability of neural networks is proposed. What is desired is a general-purpose tool with which to appraise the representations of knowledge of a system that are formed over time and experience. The authors suggest that such a tool should not be limited to any one neural simulation paradigm. The requirements of such an approach are examined, and a metric for this purpose is proposed.
|Original language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Editors||Maureen Caudill, Charles T. Butler, San Diego Adaptics|
|Place of Publication||San Diego, CA, USA|
|Publication status||Published - 1987|
ASJC Scopus subject areas