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ICAI
2009
14 years 9 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro
NPL
2000
146views more  NPL 2000»
14 years 11 months ago
Competitive and Temporal Inhibition Structures with Spiking Neurons
The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated sta...
Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-...
TNN
2008
100views more  TNN 2008»
14 years 11 months ago
Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
In this paper, several sufficient conditions are established for the global asymptotic stability of recurrent neural networks with multiple time-varying delays. The Lyapunov
Huaguang Zhang, Zhanshan Wang, Derong Liu
ICANN
2010
Springer
14 years 9 months ago
Learning in a Unitary Coherent Hippocampus
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
Charles W. Fox, Tony J. Prescott
NN
2000
Springer
150views Neural Networks» more  NN 2000»
14 years 11 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya