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ISTCS
1993
Springer
13 years 11 months ago
Analog Computation Via Neural Networks
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
Hava T. Siegelmann, Eduardo D. Sontag
NIPS
1998
13 years 9 months ago
Computational Differences between Asymmetrical and Symmetrical Networks
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
Zhaoping Li, Peter Dayan
SBRN
1998
IEEE
13 years 12 months ago
Implementation of a Probabilistic Neural Network for Multi-spectral Image Classification on an FPGA based Custom Computing Machi
As the demand for higher performance computers for the processing of remote sensing science algorithms increases, the need to investigate new computing paradigms is justified. Fie...
Marco A. Figueiredo, Clay Gloster
IJCNN
2006
IEEE
14 years 1 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
IWANN
2005
Springer
14 years 1 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam