id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
esrj-41988	Mokhtari, Maryam; Heshmati R., Ali Akbar; Shariatmadari, Nader	Compression ratio of municipal solid waste simulation using artificial neural network and adaptive neurofuzzy system	2014	7	.pdf	application/pdf	5475	295	51	Key words: Municipal solid waste, Compression ratio, Physical properties, ANFIS model, ANN model, Statistical criteria The compression ratio of Municipal Solid Waste (MSW) is an essential parameter for evaluation of waste settlement. Earlier experimental works introduced such parameter as dry unit weight, water content, and contribution percentage of biodegradable organic materials (paper, food wastes, and yard wastes) as the most significant factors which affect the compressibility of municipal solid waste.	cache/esrj-41988.pdf	txt/esrj-41988.txt