Prediction of Decomposition Temperature for Lanthanide Complexes Involving Cyclopentadienyl and Benzohydroxamic Acid Ligand by ANNs  

作　　者：孙益民 凌青 万玉宝 王修然 宇海银 

出　　处：《Chinese Journal of Chemistry》2002年第10期996-999,共4页中国化学（英文版）

基　　金：ProjectsupportedbytheNaturalScienceFoundation (No .0 0 0 46 5 0 9)ofAnhuiProvince ,theNaturalScienceFoundation (No .2 0 0j10 90 )ofAnhuiEducationCommitteeandtheYouthFoundationofAnhuiNormalUniversity

摘　　要：The decomposition temperatures of the lanthanide organic complexes (η 5-C 5H 5) 2Ln(C 6H 5CONHO) involving cyclopentadienyl and benzohydroxamic acid ligands were calculated and predicted by the model based on ANNs (artificial neural networks) method. The comparison was carried out between results from ANNs method and traditional regression method. It is proved that ANNs could be used more efficiently for the prediction of decomposition temperature of lanthanide organic complexes.The decomposition temperatures of the lanthanide organic complexes (η 5-C 5H 5) 2Ln(C 6H 5CONHO) involving cyclopentadienyl and benzohydroxamic acid ligands were calculated and predicted by the model based on ANNs (artificial neural networks) method. The comparison was carried out between results from ANNs method and traditional regression method. It is proved that ANNs could be used more efficiently for the prediction of decomposition temperature of lanthanide organic complexes.

关 键 词：rare earth organometallic artificial neural network decomposition temperature 

分 类 号：O641.4[理学—物理化学]