Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/12587
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dc.contributor.authorPatil, Gurulingappa M.-
dc.date.accessioned2014-12-01T09:15:07Z-
dc.date.available2014-12-01T09:15:07Z-
dc.date.issued1990-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/12587-
dc.guideSaxena, S. C.-
dc.guideChitore, D. S.-
dc.description.abstractEven though physicists believe that the physical world obeys the laws of physics, they are also aware that the mathem-atical descriptions of some physical situations are' too complex to permit solutions. For example, if we tore a small corner off a page and let it fall to the floor, it would go through various gyrations. It's path would be determined by the laws of physics, but it would be almost impossible to write the equations describing this path. Similarly, while the laws of physics are involved in all aspects of body functions, each situation is so complex that it is almost impossible to predict the exact behaviour from our knowledge of physics. Nevertheless, a knowledge of the laws of physics will help our understanding of physiology in health and diseases.en_US
dc.language.isoenen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectNEURONAL NETWORKen_US
dc.subjectNEURONAL NETWORK ANALYSISen_US
dc.subjectMODELLING NEURONAL NETWORKen_US
dc.titleMODELLING AND ANALYSIS OF NEURONAL NETWORKen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number245213en_US
Appears in Collections:MASTERS' THESES (Electrical Engg)

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