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» Computing Iterative Roots with Neural Networks
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ICONIP
1998
13 years 8 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
NC
1998
13 years 8 months ago
An Addition to Backpropagation for Computing Functional Roots
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Lars Kindermann
ICCS
2007
Springer
14 years 1 months ago
Neural Networks for Predicting the Behavior of Preconditioned Iterative Solvers
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...
America Holloway, Tzu-Yi Chen
NC
1998
140views Neural Networks» more  NC 1998»
13 years 8 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
ICANN
2005
Springer
14 years 29 days ago
On Variations of Power Iteration
The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The subspace iteration is an extension of the power iter...
Seungjin Choi