DSpace Repository

MODELLING AND ANALYSIS OF NEURONAL NETWORK

Show simple item record

dc.contributor.author Patil, Gurulingappa M.
dc.date.accessioned 2014-12-01T09:15:07Z
dc.date.available 2014-12-01T09:15:07Z
dc.date.issued 1990
dc.identifier M.Tech en_US
dc.identifier.uri http://hdl.handle.net/123456789/12587
dc.guide Saxena, S. C.
dc.guide Chitore, D. S.
dc.description.abstract Even 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.iso en en_US
dc.subject ELECTRICAL ENGINEERING en_US
dc.subject NEURONAL NETWORK en_US
dc.subject NEURONAL NETWORK ANALYSIS en_US
dc.subject MODELLING NEURONAL NETWORK en_US
dc.title MODELLING AND ANALYSIS OF NEURONAL NETWORK en_US
dc.type M.Tech Dessertation en_US
dc.accession.number 245213 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record