619 search results - page 6 / 124 » On computational limitations of neural network architectures |
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
DSN
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper concerns the validity of a widely used method for estimating the architecture-level mean time to failure (MTTF) due to soft errors. The method first calculates the fai...
PDCAT
2004
Springer
14 years 25 days ago
2004
Springer
In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self...
JIFS
2002
13 years 7 months ago
2002
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...