INTELLIGENT OZONE-LEVEL FORECASTING USING ARTIFICIAL NEURAL NETWORKPOMPES PAR TRANSITIONS MULTIPLES

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" INTELLIGENT OZONE-LEVEL FORECASTING USING ARTIFICIAL NEURAL NETWORKPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	152417
Doc. No	:	ET24209
Main Entry	:	Phunsak Theramongkol
Title Proper	:	INTELLIGENT OZONE-LEVEL FORECASTING USING ARTIFICIAL NEURAL NETWORKPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The purpose of this study was twofold: first, to investigates the potential for usingartificial neural network (ANN) to forecast ozone pollution; second, to apply theintelligent ozone-level forecasting to the City of Regina for predicting next-day 1-hourmaximum ozone concentrations. The artificial neural network model was developedusing the G2 real time expert system shell with the Neuron-Line (NOL) module..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL48411.pdf
Title and statement of responsibility and	:	INTELLIGENT OZONE-LEVEL FORECASTING USING ARTIFICIAL NEURAL NETWORKPOMPES PAR TRANSITIONS MULTIPLES [Thesis]