Vector field analysis of single layer feedback neural networks

Vector field analysis of single layer feedback neural networks

The vector field method of analysis of single-layer neural networks with feedback is presented. The method allows the generation of trajectories in E/sup n/ space. The trajectories provide complete dynamical solutions for all possible initial conditions, finite gain values of neurons, and parasitic...

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Hauptverfasser: Zurada, J.M., Kang, M.J., Aronhime, P.B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Convergence
Displays
Equations
HEMTs
MODFETs
Neural networks
Neurofeedback
Neurons
Parasitic capacitance
Stochastic processes
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creator Zurada, J.M.
Kang, M.J.
Aronhime, P.B.
description The vector field method of analysis of single-layer neural networks with feedback is presented. The method allows the generation of trajectories in E/sup n/ space. The trajectories provide complete dynamical solutions for all possible initial conditions, finite gain values of neurons, and parasitic conductances and capacitances which occur in actual electronic neural systems.< >
doi_str_mv 10.1109/MWSCAS.1990.140642
format Conference Proceeding
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The trajectories provide complete dynamical solutions for all possible initial conditions, finite gain values of neurons, and parasitic conductances and capacitances which occur in actual electronic neural systems.&lt; &gt;</description><subject>Convergence</subject><subject>Displays</subject><subject>Equations</subject><subject>HEMTs</subject><subject>MODFETs</subject><subject>Neural networks</subject><subject>Neurofeedback</subject><subject>Neurons</subject><subject>Parasitic capacitance</subject><subject>Stochastic processes</subject><isbn>0780300815</isbn><isbn>9780780300811</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1990</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KxDAUhQMiqOO8wKzyAh1vmjRpNsJQ_BkYcTH-LIfb5EbixFaaivTtLYxn88F34MBhbCVgLQTYm6f3fbPZr4W1s1CgVXnGrsDUIAFqUV2wZc6fMEdVYEBests3cmM_8BApeY4dpinHzPvAc-w-EvGEE801kW_RHXlHPwOmGeNvPxzzNTsPmDIt_7lgr_d3L81jsXt-2DabXRGFKcciKG9ICtdaZ7RwxjmNRlLQlW1Lb9DOzlAVrAhQI4a2dFqWXilZKeNrKRdsddqNRHT4HuIXDtPh9FD-AY_eR5c</recordid><startdate>1990</startdate><enddate>1990</enddate><creator>Zurada, J.M.</creator><creator>Kang, M.J.</creator><creator>Aronhime, P.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1990</creationdate><title>Vector field analysis of single layer feedback neural networks</title><author>Zurada, J.M. ; Kang, M.J. ; Aronhime, P.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-f4d7e31cb9c761c7cc6a73ef659b2d7a91c77e5f91f08aafb2c632d443547d833</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Convergence</topic><topic>Displays</topic><topic>Equations</topic><topic>HEMTs</topic><topic>MODFETs</topic><topic>Neural networks</topic><topic>Neurofeedback</topic><topic>Neurons</topic><topic>Parasitic capacitance</topic><topic>Stochastic processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Zurada, J.M.</creatorcontrib><creatorcontrib>Kang, M.J.</creatorcontrib><creatorcontrib>Aronhime, P.B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zurada, J.M.</au><au>Kang, M.J.</au><au>Aronhime, P.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Vector field analysis of single layer feedback neural networks</atitle><btitle>Proceedings of the 33rd Midwest Symposium on Circuits and Systems</btitle><stitle>MWSCAS</stitle><date>1990</date><risdate>1990</risdate><spage>21</spage><epage>24 vol.1</epage><pages>21-24 vol.1</pages><isbn>0780300815</isbn><isbn>9780780300811</isbn><abstract>The vector field method of analysis of single-layer neural networks with feedback is presented. The method allows the generation of trajectories in E/sup n/ space. The trajectories provide complete dynamical solutions for all possible initial conditions, finite gain values of neurons, and parasitic conductances and capacitances which occur in actual electronic neural systems.&lt; &gt;</abstract><pub>IEEE</pub><doi>10.1109/MWSCAS.1990.140642</doi></addata></record>
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Convergence
Displays
Equations
HEMTs
MODFETs
Neural networks
Neurofeedback
Neurons
Parasitic capacitance
Stochastic processes
title Vector field analysis of single layer feedback neural networks
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