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APPINF
2003
13 years 11 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
IJON
2006
138views more  IJON 2006»
13 years 10 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
NCA
2006
IEEE
13 years 10 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine
ICANN
1997
Springer
14 years 2 months ago
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina
IWCMC
2006
ACM
14 years 4 months ago
Security aspects of inter-satellite links using neural networks
This paper presents a neural network model for routing in the space segment of a Satellite Personal Communication System. At first, a proper energy function is constructed from th...
Peter P. Stavroulakis, Ioannis Dimou, Harilaos G. ...