Title :
Application of Grey-Equal Dimension and New Information Neural Network Model to Deformation Prediction
Author :
Liangcai, Wu ; Zhiming, Wei ; Xiangtong, Liu ; Shuyuan, Zhang
Author_Institution :
East China Inst. of Technol., Fuzhou, China
Abstract :
According to the deformation trend of the plasmodium, the paper utilizes the concept of equal dimension and new information in grey theory to train BP network, sets up equal-dimension and new information model that can fully reflect the law of deformation, and carries on real deformation prediction with this model. Meanwhile, the text utilizes GM (1,1) model of grey theory to predict the plasmodium. By comparing the prediction of the two methods, it draws the conclusion: the equal dimension and new information model is suitable for long data prediction of array and the precision of GM(1,1) model is relatively high.
Keywords :
backpropagation; deformation; forecasting theory; grey systems; neural nets; BP network; deformation law; deformation prediction; grey theory; grey-equal dimension; information model; information neural network model; Application software; Artificial neural networks; Computer science; Computer science education; Deformable models; Educational technology; Neural networks; Neurons; Paper technology; Predictive models; 1) model; GM(1; artificial neural network; deformation prediction; the equal dimension and new information neural network model;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.191
