909 search results - page 58 / 182 » Introduction to artificial neural networks |
FLAIRS
2003
13 years 9 months ago
2003
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
IEAAIE
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
ECAL
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. A coarse-coding regulatory model that facilitates neural heterogeneity through a morphogenetic process is presented. The model demonstrates cellular and tissue extensibil...