Design of artificial neural network and its applications to the analysis of alcoholism data.

Abstract excerpt

Artificial neural networks were applied to the alcoholism data to reveal nonlinear relationships between intermediate phenotypes, marker identity-by-descent sharing, and the affection status. A variable number of hidden units were considered to achieve a balance between the minimal mean-squared error and over-fitting of the data. The predictability of the affection status based on intermediate phenotype...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Alcoholism
• Share to Algorithms
• Share to Chromosome Mapping