Show simple item record

dc.contributorWichita State University. Electrical Engineering and Computer Science
dc.contributor.authorCruz-Cabrera, A.A.
dc.contributor.authorYang, Mingtao
dc.contributor.authorCui, Guogi
dc.contributor.authorBehrman, Elizabeth C.
dc.contributor.authorSteck, James E.
dc.contributor.authorSkinner, Steven R.
dc.date.accessioned2012-02-10T18:19:55Z
dc.date.available2012-02-10T18:19:55Z
dc.date.issued2000-11
dc.identifier.citation"Cruz-Cabrera AA, M Yang, G Cui, EC Behrman, JE Steck, and SR Skinner. 2000. Reinforcement and backpropagation training for an optical neural network using self-lensing effects. IEEE Transactions on Neural Networks / a Publication of the IEEE Neural Networks Council. 11 (6): 1450-7. doi: 10.1109/72.883476"en_US
dc.identifier.issn1045-9227
dc.identifier.issn1941-0093
dc.identifier.urihttp://hdl.handle.net/10057/4438
dc.identifier.urihttp://dx.doi.org/10.1109/72.883476
dc.descriptionClick on the DOI link below to access the article (may not be free)en_US
dc.description.abstractThe optical bench training of an optical feedforward neural network, developed by the authors, is presented. The network uses an optical nonlinear material for neuron processing and a trainable applied optical pattern as the network weights. The nonlinear material, with the applied weight pattern, modulates the phase front of a forward propagating information beam by dynamically altering the index of refraction profile of the material. To verify that the network can be trained in real time, six logic gates were trained using a reinforcement training paradigm. More importantly, to demonstrate optical backpropagation, three gates were trained via optical error backpropagation. The output error is optically backpropagated, detected with a CCD camera, and the weight pattern is updated and stored on a computer. The obtained results lay the ground work for the implementation of multilayer neural networks that are trained using optical error backpropagation and are able to solve more complex problems.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesNeural Networks, IEEE Transactions on;2000:, v.11, no.6
dc.subjectBackpropagationen_US
dc.subjectExperimentalen_US
dc.subjectFeedforwarden_US
dc.subjectHardwareen_US
dc.subjectNeural networksen_US
dc.subjectNonlinear opticsen_US
dc.subjectOpticalen_US
dc.titleReinforcement and backpropagation training for an optical neural network using self-lensing effectsen_US
dc.typeArticleen_US
dc.description.versionPeer reviewed
dc.rights.holderCopyright © 2000, IEEE


Files in this item

Icon

This item appears in the following Collection(s)

Show simple item record