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		题名	作者	年代	出处	被引量
	1	Power Curve Modelling for Wind Turbine Using Artificial Intelligence Tools and Pre-established Inference Criteria显示文摘We propose a new way to develop non-parametric models of power curves using artificial intelligence tools.One parametric model and eight non-parametric models are developed to emulate the behavior described by the power curve of the wind farms.A comparison between the power curve models based on artificial neural networks(ANNs)and those based on fuzzy logic are also proposed.Some of the power curve models based on ANNs and fuzzy inference systems(FISs)are used as well as two new FISs with the proposed new heuristic.An initial pre-training is proposed,resulting from the characteristics derived from the expert inference followed by a transformation of a fuzzy Mamdani system into a fuzzy Sugeno system.Although the presented values by the error indicators are comparable,the results show that the new pre-trained FIS models have better precision compared with the ANN and FIS models.The comparative study is conducted in two wind farms located in northeastern Brazil.The proposed method is a relevant alternative to improve power curve approximation based on an FIS.	Jonata C.de Albuquerque Ronaldo R.B.de Aquino Otoni Nobrega Neto Milde M.S.Lira Aida A.Ferreira Manoel Afonso de Carvalho Jr.	2021	Journal of Modern Power Systems and Clean Energy2021，9，3：	1
	2	Bidens pilosa L. Exhibits High Sensitivity to Coumarin in Comparison with Three Other Weed Species显示文摘	érica Marusa Pergo Denise Abrahim Patrícia Cristina Soares da Silva Kátia Aparecida Kern Lucas Jonatas Silva Elemar Voll Emy Luiza Ishii-Iwamoto	2008	Journal of Chemical Ecology2008，，4：	1
	3	Some optical proper- ties of amorphous hydrogenated carbon thin films prepared by RF plasma deposition using methane显示文摘	MARCO A ALVES R JONATAS F	2001	Microelectronics Jou- ral2001，32，：	1
	4	Mathematical Modeling of Drying in a New Concept of Silo-Dryer-Aerator and the Quality of Soybean Seeds (Glycine max (L.) Merrill)显示文摘The aim of this study was to model and validate a new concept of a silo-dryer-aerator for the drying of soybean seeds and determine the quality of the seeds in function of the air temperatures in the drying. Soybeans with water contents of 17%(w.b.) were dried and stored in a silo-dryer-aerator system that was designed with a drying chamber and four independent storage cells in the air drying temperatures at 30, 40 and 50℃ in silo-dryer-aerator. The drying in the air temperature at 30℃ in the cell C1 the diffusion approximation model was the one that best fit the data, in the cell C2 the Newton model prevailed and in the cells C3 and C4 the Midilli model. In the drying with air temperature of 40℃ in the cell C1 the Page model was the one that better adjusted the data, whereas in the cell C2 the model of diffusion approximation determined the best fit, while in the cells C3 and C4 the Page model obtained better fit. In the drying with air temperature of 50℃ in the cells C1, C2, C3 and C4 the logarithm model was the one that best represented the fit of the data. The increase in the drying air temperature to 50 °C decreased the quality of soybeans seeds. In the upper and middle part of the cells there was an increase in electrical conductivity (140.02 μS/cm/g) and germination (53%) compared with the lower dryer position.	Paulo Carteri Coradi Angelo Francisco Calegare Lemes Jonatas Ibagé Steinhaus Amanda Müller Charline Zaratin Alves	2018	Journal of Agricultural Science and Technology(B)2018，8，8：	1
	5	Control of microorganisms of oral health interest with Arctium lappa L (burdock) extract non-cytotoxic to cell culture of macrophages 显示文摘	Jonatas Rafael de Oliveira	2014	Archives of Oral Biology2014，59，8：	1

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