Chapter 2: Learning and Collaborative Systems

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

Reference: Software, Knowledge, Information Management and Applications (SKIMA 2013) 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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