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» Finiteness results for sigmoidal
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STOC
1993
ACM
94views Algorithms» more  STOC 1993»
13 years 9 months ago
Finiteness results for sigmoidal "neural" networks
Angus Macintyre, Eduardo D. Sontag
JIFS
2002
60views more  JIFS 2002»
13 years 5 months ago
Turing's analysis of computation and artificial neural networks
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...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...
SSPR
2000
Springer
13 years 9 months ago
Encoding Nondeterministic Finite-State Tree Automata in Sigmoid Recursive Neural Networks
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...
Mikel L. Forcada, Rafael C. Carrasco
COLT
1992
Springer
13 years 9 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
EUROCAST
1997
Springer
85views Hardware» more  EUROCAST 1997»
13 years 9 months ago
Turing Universality of Neural Nets (Revisited)
We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. W...
João Pedro Guerreiro Neto, Hava T. Siegelma...