Sciweavers

Share
TNN
2010

Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks

8 years 8 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 subspace of nonnegative orthant. The set of minimum points of the CLM energy function forms the set of solutions of the CLM problem. Solving the CLM problem means to find out such solutions. Recurrent neural networks (RNNs) can be used to implement the CLM to solve the CLM problem. The key point is to make the set of minimum points of the CLM energy function just correspond to the set of stable attractors of the recurrent neural networks. This paper proposes to use Lotka
Zhang Yi
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TNN
Authors Zhang Yi
Comments (0)
books