A family of reconfigurable neurocomputers for the "intelligent factory"
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable for massively parallel computations is presented in this paper. The RM family of neurocomputers range from a single board system capable (of providing supercomputer power to more elaborate systems su...
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Online Access: | http://irep.iium.edu.my/38342/ http://irep.iium.edu.my/38342/ http://irep.iium.edu.my/38342/1/A_Family_Of_Reconfigurable_Neurocomputers_For_The_Intelligent_Factory.pdf |
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iium-383422015-01-06T02:03:05Z http://irep.iium.edu.my/38342/ A family of reconfigurable neurocomputers for the "intelligent factory" Erdogan, S. S. Abdul Rahman, Abdul Wahab T Technology (General) The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable for massively parallel computations is presented in this paper. The RM family of neurocomputers range from a single board system capable (of providing supercomputer power to more elaborate systems suitable for very complex real time neural computation. The major architectural breakthrough in the design of RM neurocomputers is the fact that a completely reconfigurable platform, not only in the domain of communications and control but also in the domain of processing elements, is provided. Another contribution is the implementation of a last floating point sum of products circuit which uses special carry-save multipliers and extensive pipelining. 1992-08-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38342/1/A_Family_Of_Reconfigurable_Neurocomputers_For_The_Intelligent_Factory.pdf Erdogan, S. S. and Abdul Rahman, Abdul Wahab (1992) A family of reconfigurable neurocomputers for the "intelligent factory". In: IEEE International Workshop on Emerging Technologies and Factory Automation, 11-14 August 1992, Melbourne, Australia. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=683282 |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Erdogan, S. S. Abdul Rahman, Abdul Wahab A family of reconfigurable neurocomputers for the "intelligent factory" |
description |
The neural network simulation plallorm provided by a family of Reconfigurable Machines (RM) suitable for massively parallel computations is presented in this paper. The RM family of neurocomputers range from a single board system capable (of providing supercomputer power to more elaborate systems suitable for very complex real time neural computation. The major architectural breakthrough in the design of RM neurocomputers is the fact that a completely reconfigurable platform, not only in the domain of communications and control but also in the domain of processing elements, is provided. Another contribution is the implementation of a last floating point sum of products circuit which uses special carry-save multipliers and extensive pipelining. |
format |
Conference or Workshop Item |
author |
Erdogan, S. S. Abdul Rahman, Abdul Wahab |
author_facet |
Erdogan, S. S. Abdul Rahman, Abdul Wahab |
author_sort |
Erdogan, S. S. |
title |
A family of reconfigurable neurocomputers for the "intelligent factory" |
title_short |
A family of reconfigurable neurocomputers for the "intelligent factory" |
title_full |
A family of reconfigurable neurocomputers for the "intelligent factory" |
title_fullStr |
A family of reconfigurable neurocomputers for the "intelligent factory" |
title_full_unstemmed |
A family of reconfigurable neurocomputers for the "intelligent factory" |
title_sort |
family of reconfigurable neurocomputers for the "intelligent factory" |
publishDate |
1992 |
url |
http://irep.iium.edu.my/38342/ http://irep.iium.edu.my/38342/ http://irep.iium.edu.my/38342/1/A_Family_Of_Reconfigurable_Neurocomputers_For_The_Intelligent_Factory.pdf |
first_indexed |
2023-09-18T20:55:04Z |
last_indexed |
2023-09-18T20:55:04Z |
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1777410249780625408 |