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» Recurrent neural network based language model
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GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 2 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
ICANN
2005
Springer
15 years 3 months ago
A Model for Delay Activity Without Recurrent Excitation
Delay activity (DA) is the increased firing rate of a cortical population, which persists when the stimulus that induced it is removed. It is believed to be the neural substrate f...
Marc de Kamps
85
Voted
AEI
1999
110views more  AEI 1999»
14 years 9 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
ICONIP
2007
14 years 11 months ago
RNN with a Recurrent Output Layer for Learning of Naturalness
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...
Ján Dolinský, Hideyuki Takagi
ESANN
2004
14 years 11 months ago
Face Recognition Using Recurrent High-Order Associative Memories
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Iulian B. Ciocoiu