Logic Learning in Hopfield Networks

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Logic Learning in Hopfield Networks

Synaptic weights for neurons in logic programming can be calculated either by using Hebbian learning or by Wan Abdullah’s method. In other words, Hebbian learning for governing events corresponding to some respective program clauses is equivalent with learning using Wan Abdullah’s method for the same respective program clauses. In this paper we will evaluate experimentally the equivalence betwe...

متن کامل

Storkey Learning Rules for Hopfield Networks

We summarize the Storkey Learning Rules for the Hopfield Model, and evaluate performance relative to other learning rules. Hopfield Models are normally used for auto-association, and Storkey Learning Rules have been found to have good balance between local learning and capacity. In this paper we outline different learning rules and summarise capacity results. Hopfield networks are related to Bo...

متن کامل

Learning Cycles brings Chaos in Continuous Hopfield Networks

This paper aims at studying the impact of an hebbian learning algorithm on the recurrent neural network’s underlying dynamics. Two different kinds of learning are compared in order to encode information in the attractors of the Hopfield neural net: the storing of static patterns and the storing of cyclic patterns. We show that if the storing of static patterns leads to a reduction of the potent...

متن کامل

The Effect of Hebbian Learning on Optimisation in Hopfield Networks

In neural networks, two specific dynamical behaviours are well known: 1) Networks naturally find patterns of activation that locally minimise constraints among interactions. This can be understood as the local minimisation of an energy or potential function, or the optimisation of an objective function. 2) In distinct scenarios, Hebbian learning can create new interactions that form associative...

متن کامل

Trust Classification in Social Networks Using Combined Machine Learning Algorithms and Fuzzy Logic

Social networks have become the main infrastructure of today’s daily activities of people during the last decade. In these networks, users interact with each other, share their interests on resources and present their opinions about these resources or spread their information. Since each user has a limited knowledge of other users and most of them are anonymous, the trust factor plays an import...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Modern Applied Science

سال: 2008

ISSN: 1913-1852,1913-1844

DOI: 10.5539/mas.v2n3p57