Issues in Verification and Validation of Neural Network Based Approaches for Fault-Diagnosis in Autonomous Systems.POMPES PAR TRANSITIONS MULTIPLES

منو

" Issues in Verification and Validation of Neural Network Based Approaches for Fault-Diagnosis in Autonomous Systems.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154283
Doc. No	:	ET26075
Main Entry	:	Uma Bharathi Ramachandran
Title Proper	:	Issues in Verification and Validation of Neural Network Based Approaches for Fault-Diagnosis in Autonomous Systems.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Autonomous systems are those that evolve over time, and through learning, can makeintelligent decisions when faced with unidentified and unknown situations. ArtificialNeural Networks (ANN) has been applied to an increasing number of real-worldproblems with considerable complexity. Due to their learning.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50348.pdf
Title and statement of responsibility and	:	Issues in Verification and Validation of Neural Network Based Approaches for Fault-Diagnosis in Autonomous Systems.POMPES PAR TRANSITIONS MULTIPLES [Thesis]