OPTIMIZATION OF CONNECTION WEIGHTS OF ARTIFICIAL NEURAL NETWORKS BY LAYER PARTITION AND GENETIC ALGORITHMSET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES

منو

" OPTIMIZATION OF CONNECTION WEIGHTS OF ARTIFICIAL NEURAL NETWORKS BY LAYER PARTITION AND GENETIC ALGORITHMSET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154777
Doc. No	:	ET26569
Main Entry	:	h a n d Jayant Kulkami
Title Proper	:	OPTIMIZATION OF CONNECTION WEIGHTS OF ARTIFICIAL NEURAL NETWORKS BY LAYER PARTITION AND GENETIC ALGORITHMSET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The design of Artificial Neural Networks (ANNs) architecture can be a complex andtime-consuming task. Typically many trials are involved to select the desiredarchitecture of an ANN for a desired solution or the expected error. In recent years,there has been considerable interest in solving problems in mechanical engineeringusing an ANN. Design and production problems in this field include large linear.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50842.pdf
Title and statement of responsibility and	:	OPTIMIZATION OF CONNECTION WEIGHTS OF ARTIFICIAL NEURAL NETWORKS BY LAYER PARTITION AND GENETIC ALGORITHMSET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]