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一种多模块协同参与的神经网络 被引量:2
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作者 薄迎春 乔俊飞 杨刚 《智能系统学报》 2011年第3期225-230,共6页
针对单一神经网络训练时间长、对复杂问题处理精度较低、易陷入局部极小等问题,提出了一种多模块协同参与信息处理的神经网络.该神经网络具有层级结构,基于条件模糊聚类技术对样本进行分类,根据分类结果实现对神经网络的模块划分,采用... 针对单一神经网络训练时间长、对复杂问题处理精度较低、易陷入局部极小等问题,提出了一种多模块协同参与信息处理的神经网络.该神经网络具有层级结构,基于条件模糊聚类技术对样本进行分类,根据分类结果实现对神经网络的模块划分,采用代数算法对网络权值进行求解,基于距离测度设计了处理输入信息的子网络选择方法.为提高神经网络对复杂问题的逼近能力,选择数目不等的多个子网络参与给定输入的协同处理,采取"分而治之"与"集成学习"相结合方法以提高网络的性能.实验表明,对于复杂问题,这种多模块协同参与的神经网络可以有效地提高网络的逼近精度,训练时间也优于单一网络. 展开更多
关键词 神经网络 条件模糊聚类 多模块 子网络选择
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Biosorption of Toxic Zn(ll) Ion from Water Using Ion Imprinted Interpenetrating Polymer Networks
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作者 Girija p Beena Mathew 《Journal of Chemistry and Chemical Engineering》 2013年第6期508-517,共10页
Toxic Zn(II) ion imprinted interpenetrating polymer networks were synthesized for the selective sorption of Zn(ll) from aqueous solutions using a biopolymer alginic acid. The polymeric biosorbant was prepared usin... Toxic Zn(II) ion imprinted interpenetrating polymer networks were synthesized for the selective sorption of Zn(ll) from aqueous solutions using a biopolymer alginic acid. The polymeric biosorbant was prepared using Zn(II) ion as template, acrylamide as functional monomer, cross linker NNMBA (N,N' Methylene-bis-acrylamide) and potassium persulphate as an initiator. The non-imprinted polymer networks were also prepared without use of the Zn(II) ion. The synthesized interpenetrating networks were characterized by various spectral techniques. Metal ion binding studies were carried out and the factors affecting binding were also optimized. Competitive sorption studies were investigated to determine the selectivity of Zn(II) ion imprinted interpenetrating polymer network. Zinc ion imprinted polymer networks showed good selectivity for the target ion. 展开更多
关键词 Interpenetrating polymer network molecular imprinting template metal SELECTIVITY zinc ion.
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