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Agent Based Modelling For New Technique In Neuro Symbolic Integration

This paper shows on developing agent based modelling for represent the performance of doing logic programming in Hopfield network by using a new activation function. The effects of the activation function on the performance of the neuro-symbolic integration are analyzed mathematically and compared w...

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Main Authors: Sathasivam, Saratha, Velavan, Muraly
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
QA1-939 Mathematics
Online Access:http://eprints.usm.my/35877/1/Saratha_Sathasivam_MUHA2.pdf
http://eprints.usm.my/35877/
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spelling my.usm.eprints.35877 http://eprints.usm.my/35877/ Agent Based Modelling For New Technique In Neuro Symbolic Integration Sathasivam, Saratha Velavan, Muraly QA1-939 Mathematics This paper shows on developing agent based modelling for represent the performance of doing logic programming in Hopfield network by using a new activation function. The effects of the activation function on the performance of the neuro-symbolic integration are analyzed mathematically and compared with the existing method. Computer simulations are carried out to validate the effectiveness on the new activation function. The resuls obtained showed that the new activation function outperform the existing method in doing logic programming in Hopfield network. The models developed by agent based modelling also support this theory. 2017 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/35877/1/Saratha_Sathasivam_MUHA2.pdf Sathasivam, Saratha and Velavan, Muraly (2017) Agent Based Modelling For New Technique In Neuro Symbolic Integration. In: 16th International Conference on Researches in Science & Technology (ICRST), 14-15 July 2017, Bali, Indonesia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA1-939 Mathematics
spellingShingle QA1-939 Mathematics
Sathasivam, Saratha
Velavan, Muraly
Agent Based Modelling For New Technique In Neuro Symbolic Integration
description This paper shows on developing agent based modelling for represent the performance of doing logic programming in Hopfield network by using a new activation function. The effects of the activation function on the performance of the neuro-symbolic integration are analyzed mathematically and compared with the existing method. Computer simulations are carried out to validate the effectiveness on the new activation function. The resuls obtained showed that the new activation function outperform the existing method in doing logic programming in Hopfield network. The models developed by agent based modelling also support this theory.
format Conference or Workshop Item
author Sathasivam, Saratha
Velavan, Muraly
author_facet Sathasivam, Saratha
Velavan, Muraly
author_sort Sathasivam, Saratha
title Agent Based Modelling For New Technique In Neuro Symbolic Integration
title_short Agent Based Modelling For New Technique In Neuro Symbolic Integration
title_full Agent Based Modelling For New Technique In Neuro Symbolic Integration
title_fullStr Agent Based Modelling For New Technique In Neuro Symbolic Integration
title_full_unstemmed Agent Based Modelling For New Technique In Neuro Symbolic Integration
title_sort agent based modelling for new technique in neuro symbolic integration
publishDate 2017
url http://eprints.usm.my/35877/1/Saratha_Sathasivam_MUHA2.pdf
http://eprints.usm.my/35877/
_version_ 1643708622793867264
score 13.187197

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