Proceedings of the International Conference on
Software, Knowledge, Information Management and Applications (SKIMA 2013)
Advanced Technology Solutions and Applications in Higher Education and Enterprises
 
(from Chapter 2: Learning and Collaborative Systems)

 Full Citation and Abstract

Title: Application of Boltzmann machine in higher order Hopfield network
  Author(s): Saratha Sathasivam, Muraly Velavan
  Address: School of Mathematical Sciences, Universiti Sains Malaysia Penang, Malaysia
School of General and Foundation Studies, AIMST University, Kedah, Malaysia
saratha @ usm.my, dsmuraly @ yahoo.com
  Reference: SKIMA 2013 Proceedings  pp. 64 - 72
  Abstract/
Summary
A neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest and usually implemented by using electronic components or simulated in software on a computer. In this paper, an agent based modeling (ABM) was introduced by using Netlogo which carry out higher order horn clauses in Hopfield network based on Boltzmann machine. Our interest in this paper is confined largely to an important class of neural networks that perform useful computations through a process of learning. So, from the ABM that designed, we can carry out some computer simulation to verify and test the ABM develop.
 
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