Systolic implementation of neural networks
Systolic implementation of neural networks is suggested. These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforwar...
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| creator | Zubair, M. Madan, B.B. |
| description | Systolic implementation of neural networks is suggested. These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforward networks.< > |
| doi_str_mv | 10.1109/ICCD.1989.63412 |
| format | Conference Proceeding |
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These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforward networks.< ></description><identifier>ISBN: 9780818619717</identifier><identifier>ISBN: 0818619716</identifier><identifier>DOI: 10.1109/ICCD.1989.63412</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Computational modeling ; Computer networks ; Feedforward neural networks ; Hopfield neural networks ; Multi-layer neural network ; Neural networks ; Neurofeedback ; Neurons ; Optical computing ; Optical feedback</subject><ispartof>Proceedings 1989 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1989, p.479-482</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/63412$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/63412$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zubair, M.</creatorcontrib><creatorcontrib>Madan, B.B.</creatorcontrib><title>Systolic implementation of neural networks</title><title>Proceedings 1989 IEEE International Conference on Computer Design: VLSI in Computers and Processors</title><addtitle>ICCD</addtitle><description>Systolic implementation of neural networks is suggested. These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforward networks.< ></description><subject>Computational modeling</subject><subject>Computer networks</subject><subject>Feedforward neural networks</subject><subject>Hopfield neural networks</subject><subject>Multi-layer neural network</subject><subject>Neural networks</subject><subject>Neurofeedback</subject><subject>Neurons</subject><subject>Optical computing</subject><subject>Optical feedback</subject><isbn>9780818619717</isbn><isbn>0818619716</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1989</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLxDAURgMiKGPX4q5roTXpTdKbpdTXwIALdT2kyQ1E-xiaiMy_t-icb3F2HxzGrgWvheDmbtt1D7UwaGoNUjRnrDAtchSohWlFe8GKlD75ilLI2-aS3b4dU56H6Mo4HgYaaco2x3kq51BO9L3YYVX-mZevdMXOgx0SFSdv2MfT43v3Uu1en7fd_a6KgkOu-kaZ1intQQWHJL0E7zGACL5HbrVVjQOryCCQhHW9Rqu0ISt7cFLDht38_0Yi2h-WONrluP_rgV8WT0AS</recordid><startdate>1989</startdate><enddate>1989</enddate><creator>Zubair, M.</creator><creator>Madan, B.B.</creator><general>IEEE Comput. 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These arrays do not suffer from long feedback connections. Various learning rules are incorporated in the suggested systolic implementation of neural networks. It is shown that these arrays can be easily generalized for multilayered feedforward networks.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICCD.1989.63412</doi><tpages>4</tpages></addata></record> |
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| identifier | ISBN: 9780818619717 |
| ispartof | Proceedings 1989 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1989, p.479-482 |
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| language | eng |
| recordid | cdi_ieee_primary_63412 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computational modeling Computer networks Feedforward neural networks Hopfield neural networks Multi-layer neural network Neural networks Neurofeedback Neurons Optical computing Optical feedback |
| title | Systolic implementation of neural networks |
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