Wavelet Neural Network (WNN) was employed in a rapid calculation of the atomic electron affinities, with atomic ionization potentials and atomic electron configurations chosen as input parameters. Many unmeasured valu...Wavelet Neural Network (WNN) was employed in a rapid calculation of the atomic electron affinities, with atomic ionization potentials and atomic electron configurations chosen as input parameters. Many unmeasured values were obtained, and the estimates appeared to be sufficiently accurate for potential applications.展开更多
IR spectra play an important role in determining the structure of compounds qualitatively andquantitatively.In general a great number of data are required to exactly show the features ofthe compounds.Regarding various...IR spectra play an important role in determining the structure of compounds qualitatively andquantitatively.In general a great number of data are required to exactly show the features ofthe compounds.Regarding various compounds,there are massive IR spectra.With the basicfeatures of IR spectra being reserved,it is important to compress IR spectra for improving thestorage,index and process of IR spectra.The wavelet neural network(WNN)is a newneural network model based on wavelet analysis.However,its introduction and applica-tion in chemistry have not been reported.In this note,WNN is applied to the compression ofthe IR spectra of polystyrene.The results show that the original spectra can be展开更多
文摘Wavelet Neural Network (WNN) was employed in a rapid calculation of the atomic electron affinities, with atomic ionization potentials and atomic electron configurations chosen as input parameters. Many unmeasured values were obtained, and the estimates appeared to be sufficiently accurate for potential applications.
文摘IR spectra play an important role in determining the structure of compounds qualitatively andquantitatively.In general a great number of data are required to exactly show the features ofthe compounds.Regarding various compounds,there are massive IR spectra.With the basicfeatures of IR spectra being reserved,it is important to compress IR spectra for improving thestorage,index and process of IR spectra.The wavelet neural network(WNN)is a newneural network model based on wavelet analysis.However,its introduction and applica-tion in chemistry have not been reported.In this note,WNN is applied to the compression ofthe IR spectra of polystyrene.The results show that the original spectra can be
