��缼��ڽᾧ��ѧ��ģ�е�Ӧ��

ժҪ ��ỷ��ɳ�ǡ�ˮ��Ҵ��Ԫ��ϵ��õĽᾧ��ѧ��Ϊ��,��һ��Ԥ��ᾧ��ѧ��ݵ��ģ�͡��,�ô˼��ģ�ͶԽᾧ��ѧ��Ԥ��ô�ͳ��(�뾭��Ļع�ģ��)Ҫ��ȷ�ɿ��

	Service

	�ѱ��Ƽ��
	��ҵ��
	��ù��
	Email Alert
	RSS
	��
	��
	��Զ
	��

�ؼ���� ᾧ��ѧ ģ��

Abstract�� Neuron network model is constructed to predict crystallization kinetics data,based on the crystallization kinetics data of the system with ciprofloxacin hydrochloride,H_2O and ethanol.And the results confirm that this model is better to predict the crystallization kinetics data than other traditional methods.

Keywords��

Received 2006-03-15; published 2006-03-15

��ñ��:

��;��Զ;��;.��缼��ڽᾧ��ѧ��ģ�е�Ӧ��[J]. ��ѧ��ҵ�빤��, 2006,23(2): 163-166

YANG Meng,WEI Hong-yuan,LIU Yong.Application of Neuron Network Technique in Modeling Crystallization Kinetics[J]. Chemcial Industry and Engineering, 2006,23(2): 163-166

[1]	HOSKING J C,HIMMELBLAU B M.Adaptive networks forfault diagnosis and process control[J].Comput Chem Eng.1988,12:881-890
[2]	BHAGAT P.An introduction to neural nets[J].Chem EngProg,1990,8:55-56.
[3]	�˺��,��滪,��,��.��ھۺϹ��е�Ӧ��[J].��չ,2003,31(3):41-44.
	��滪.��緽��Ԥ��ڵ��[J].��ѧ��,2003,31(3):41-44.
[4]	Ф��,��,��.��˹��ģ��ģ��߻��[J].��ѧ��,1998,26(2):29-32.
[5]	MULLIN.Crystallization[M].��:��ͼ��湫˾,2000.
[6]	LARACHI F,ILIUTA I.Onset of pulsing in trickle beds:Evaluation of current tools and state of art correlation[J].Can J of Chem Eng.1999,77:1-7
[7]	LARACHI F,ZOUHIR BENDETITI.Two-phase frictionalpressure drop in flooded-bed reactors:A state of the artcorrelation[J].Chem Eng Technol.1998,21(11):887-893
[8]	BENSETITI Z,LARACHI F.Liquid saturation in cocurrentupflow fixed-bed reactors:A state of the art correlation[J].Chem Eng Sci,1997,52(21/22):4 239-4 247.
[9]	ION ILIUTA,LARACHI F.Pressure drop and liquid hold upin trickle flow reactors:Improved ergun constants and slipcorrelations for the slip model[J].Ind Chem Eng Res,1998,37:4 542-4 550.
[10]	ION ILIUTA,LARACHI F.Gas-liquid interfacial masstransfer in trickle-bed reactors a state of the art correlation[J].Chem Eng Sci,1999,54(23):5 633-5 645.