Problem description. The learning of monolithic neural networks becomes harder with growing network size. Likewise the knowledge obtained while learning becomes harder to extract. Such disadvantages are caused by a lack of internal structure, that by its presence would reduce the degrees of freedom in evolving to a training target. A suitable internal structure with respect to modular network construction as well as to nodal discrimination is required. Details on the grouping and selection of nodes can sometimes be concluded from the characteristics of the application area; otherwise a comprehensive search within the solution space is necessary.
|Title of host publication||Learning Solutions|
|Place of Publication||Netherlands|
|Number of pages||2|
|Publication status||Published - Jun 2002|
|Event||Lerende Oplossingen: Lerende Oplossingen - Nijmegen, Netherlands|
Duration: 14 Jun 2002 → 14 Jun 2002
|Period||14/06/02 → 14/06/02|