Open AccessThis article is
- freely available
On the Entropy Based Associative Memory Model with Higher-Order Correlations
Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology, Kamitomioka 1603-1, Nagaoka, Niigata 940-21, Japan
Received: 2 January 2010; Accepted: 18 January 2010 / Published: 22 January 2010
Abstract: In this paper, an entropy based associative memory model will be proposed and applied to memory retrievals with an orthogonal learning model so as to compare with the conventional model based on the quadratic Lyapunov functional to be minimized during the retrieval process. In the present approach, the updating dynamics will be constructed on the basis of the entropy minimization strategy which may be reduced asymptotically to the above-mentioned conventional dynamics as a special case ignoring the higher-order correlations. According to the introduction of the entropy functional, one may involve higer-order correlation effects between neurons in a self-contained manner without any heuristic coupling coefficients as in the conventional manner. In fact we shall show such higher order coupling tensors are to be uniquely determined in the framework of the entropy based approach. From numerical results, it will be found that the presently proposed novel approach realizes much larger memory capacity than that of the quadratic Lyapunov functional approach, e.g., associatron.
Keywords: association model; entropy; memory capacity; lyapunov functional
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Nakagawa, M. On the Entropy Based Associative Memory Model with Higher-Order Correlations. Entropy 2010, 12, 136-147.
Nakagawa M. On the Entropy Based Associative Memory Model with Higher-Order Correlations. Entropy. 2010; 12(1):136-147.
Nakagawa, Masahiro. 2010. "On the Entropy Based Associative Memory Model with Higher-Order Correlations." Entropy 12, no. 1: 136-147.