On the Dynamics of a Recurrent Hopfield Network
Rama Garimella, Berkay Kicanaoglu, Moncef Gabbouj
TL;DR
This paper introduces a novel real/complex valued recurrent Hopfield Neural Network, explores its energy landscape and dynamics, proposes alternative parallel operation modes, and discusses potential applications.
Contribution
It presents a new RHNN model with complex values, analyzes its energy landscape, and proposes alternative parallel modes and applications.
Findings
Energy landscape synthesis method for RHNNs
Experimental analysis of RHNN dynamics
Proposed alternative parallel operation modes
Abstract
In this research paper novel real/complex valued recurrent Hopfield Neural Network (RHNN) is proposed. The method of synthesizing the energy landscape of such a network and the experimental investigation of dynamics of Recurrent Hopfield Network is discussed. Parallel modes of operation (other than fully parallel mode) in layered RHNN is proposed. Also, certain potential applications are proposed.
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Taxonomy
TopicsNeural Networks and Applications · Neural Networks Stability and Synchronization · Image and Video Stabilization