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

• Type: Journal
• Year: 2010
• Where: TNN
• Authors: Zhang Yi
• Keywords: CLM Energy Function, CLM Problem, Lv Rnns, Management, TNN 2010