Flatness of the Energy Landscape for Horn Clauses

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dc.creatorSathasivam, Saratha
dc.creatorAbdullah, Wan Ahmad Tajuddin Wan
dc.date2008-05-02
dc.date.accessioned2026-07-07T09:36:38Z
dc.date.available2026-07-07T09:36:38Z
dc.descriptionThe Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function for logical interpretations of the sets of Horn clauses, has minimal ruggedness. This is supported by computer simulations.
dc.identifierhttps://arxiv.org/abs/0805.0197
dc.identifierhttp://arxiv.org/abs/0805.0197
dc.identifierMatematika 23 (2007) 147-156
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/160189
dc.subjectDisordered Systems and Neural Networks
dc.subjectNeural and Evolutionary Computing
dc.titleFlatness of the Energy Landscape for Horn Clauses
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