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» Neural Networks and Complexity Theory
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84
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IJNS
2000
80views more  IJNS 2000»
14 years 9 months ago
VLSI Implementation of Neural Networks
Currently, fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more compl...
Bogdan M. Wilamowski, J. Binfet, M. O. Kaynak
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 1 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
86
Voted
ESANN
2001
14 years 11 months ago
Some known facts about financial data
: Many researchers are interesting in applying the neural networks methods to financial data. In fact these data are very complex, and classical methods do not always give satisfac...
Eric de Bodt, Joseph Rynkiewicz, Marie Cottrell
86
Voted
IJCNN
2007
IEEE
15 years 4 months ago
Computational Templates, Neural Network Dynamics, and Symbolic Logic
— The relationship between subsymbolic neural networks and symbolic logical systems is discussed from the point of view of the account of computational science by Paul Humphreys ...
Otto Lappi
ISNN
2004
Springer
15 years 3 months ago
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...
Zhigang Zeng, De-Shuang Huang, Zengfu Wang