14 search results - page 1 / 3 » A Hierarchical Method for Training Embedded Sigmoidal Neural... |
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
AINA
2010
IEEE
13 years 3 months ago
2010
IEEE
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
ISNN
2004
Springer
13 years 9 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
IJCAI
1997
13 years 5 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...