{"id":{"repo_id":"siu-theses","oai_identifier":"oai:opensiuc.lib.siu.edu:dissertations-1766"},"canonical_url":"https://search.dev.ndltd.org/etd/siu-theses/oai:opensiuc.lib.siu.edu:dissertations-1766","repository":{"repo_id":"siu-theses","name":"Southern Illinois University","base_url":"https://opensiuc.lib.siu.edu/do/oai/"},"display":{"title":"Investigation of Proteretic Hopfield Networks","abstract":"The proteretic Hopfield neural network is studied in this work. Hysteresis is a Greek word which means deficiency or lagging behind, and it can be defined as the occurrence of a delayed effect when forces acting on an abject are varied. It will be shown that the proteresis, which is the reverse of hysteresis, can increase the speed of convergence of the Hopfield network. We will make a comparison among the traditional Hopfield, the hysteretic Hopfield, and the proteretic Hopfield. It will be proven that the proteresis is increasing the speed of convergence of the Hopfield associative memory and the Hopfield analog to digital converter without compromising the accuracy.","abstract_html":"The proteretic Hopfield neural network is studied in this work. Hysteresis is a Greek word which means deficiency or lagging behind, and it can be defined as the occurrence of a delayed effect when forces acting on an abject are varied. It will be shown that the proteresis, which is the reverse of hysteresis, can increase the speed of convergence of the Hopfield network. We will make a comparison among the traditional Hopfield, the hysteretic Hopfield, and the proteretic Hopfield. It will be proven that the proteresis is increasing the speed of convergence of the Hopfield associative memory and the Hopfield analog to digital converter without compromising the accuracy.","abstract_has_math":false,"creators":["Al-khalidi, Aysar"],"institution":null,"degree_name":"Doctor of Philosophy","degree_level":"Campus Only Dissertation","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":["Sayeh, Mohammad"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-12-01T08:00:00Z","date_published":"2013-12-01T08:00:00Z","updated_at":"2026-07-24T04:34:20Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://opensiuc.lib.siu.edu/dissertations/763","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sayeh, Mohammad"]},{"key":"dc:creator","label":"Author","values":["Al-khalidi, Aysar"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Campus Only Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://opensiuc.lib.siu.edu/dissertations/763"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The proteretic Hopfield neural network is studied in this work. Hysteresis is a Greek word which means deficiency or lagging behind, and it can be defined as the occurrence of a delayed effect when forces acting on an abject are varied. It will be shown that the proteresis, which is the reverse of hysteresis, can increase the speed of convergence of the Hopfield network. We will make a comparison among the traditional Hopfield, the hysteretic Hopfield, and the proteretic Hopfield. It will be proven that the proteresis is increasing the speed of convergence of the Hopfield associative memory and the Hopfield analog to digital converter without compromising the accuracy."]},{"key":"dc:title","label":"Title","values":["Investigation of Proteretic Hopfield Networks"]}]}],"canonical_facts":{"dc:contributor":["Sayeh, Mohammad"],"dc:creator":["Al-khalidi, Aysar"],"dc:description.abstract":["The proteretic Hopfield neural network is studied in this work. Hysteresis is a Greek word which means deficiency or lagging behind, and it can be defined as the occurrence of a delayed effect when forces acting on an abject are varied. It will be shown that the proteresis, which is the reverse of hysteresis, can increase the speed of convergence of the Hopfield network. We will make a comparison among the traditional Hopfield, the hysteretic Hopfield, and the proteretic Hopfield. It will be proven that the proteresis is increasing the speed of convergence of the Hopfield associative memory and the Hopfield analog to digital converter without compromising the accuracy."],"dc:identifier":["https://opensiuc.lib.siu.edu/dissertations/763"],"dc:title":["Investigation of Proteretic Hopfield Networks"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_level":["Campus Only Dissertation"],"thesis:degree_name":["Doctor of Philosophy"]},"updated_at":"2026-07-24T04:34:20Z"}