Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/12587
Title: MODELLING AND ANALYSIS OF NEURONAL NETWORK
Authors: Patil, Gurulingappa M.
Keywords: ELECTRICAL ENGINEERING;NEURONAL NETWORK;NEURONAL NETWORK ANALYSIS;MODELLING NEURONAL NETWORK
Issue Date: 1990
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.
URI: http://hdl.handle.net/123456789/12587
Other Identifiers: M.Tech
Research Supervisor/ Guide: Saxena, S. C.
Chitore, D. S.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Electrical Engg)

Files in This Item:
File Description SizeFormat 
EED245213.pdf10.91 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.