715 search results - page 5 / 143 » Neural Network with Matrix Inputs |
116
Voted
TNN
2008
15 years 3 months ago
2008
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
135
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...
101
Voted
ICONIP
2007
15 years 5 months ago
2007
There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
91
Voted
ESANN
2006
15 years 4 months ago
2006
Abstract. Artificial neural networks are intended to be used in future nanoelectronics since their biological examples seem to be robust to noise. In this paper, we analyze the rob...
123
Voted
ESANN
2004
15 years 4 months ago
2004
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...