19 search results - page 1 / 4 » Multi-Layer Perceptrons and Symbolic Data |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for classical MLP can be extended to functional...
CIS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Multi-layer perceptrons (MLPs) have been widely used in classification and regression task. How to improve the training speed of MLPs has been an interesting field of res...
ICIAP
2005
ACM
14 years 5 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
ESANN
2000
13 years 6 months ago
2000
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...