论文信息 - Logic Programming in Hopfield Network

Logic Programming in Hopfield Network

In recent studies on artificial intelligence, logic program occupies a significant position because of its attractive features. Neural networks are dynamic systems in the learning and training phase of their operation and convergence is an essential feature, so it is necessary for the researchers developing the models and their learning algorithms to find a provable criterion for convergence in a dynamic system. In this paper, an agent based modelling (ABM) was developed by using NETLOGO as a platform to carry out logic programming in Hopfield network. The developed model seems to illustrate the task of doing logic programming in a simpler and user friendly manner.

Saratha Sathasivam | Ng Pei Fen

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