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128
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TNN
2010
121views Management» more  TNN 2010»
14 years 10 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
136
Voted
TNN
1998
146views more  TNN 1998»
15 years 3 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
125
Voted
TNN
2008
100views more  TNN 2008»
15 years 1 months ago
Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays
Abstract--In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's i...
Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang
127
Voted
TSD
2010
Springer
15 years 1 months ago
Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform
In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental r...
Jan Trmal, Jan Zelinka, Ludek Müller
167
Voted
NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 3 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...