Title :
Research on the Image Retrieval Method Based on the BP Neural Network Feedback Technology
Author :
Xiaojuan, Guo ; Yufen, Wang ; Jifu, Cheng
Author_Institution :
Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
Abstract :
According to the retrieval algorithm of adjusting automatic the weight of multi-features, and which the algorithm exist some deficiency, like that have not the study mechanism and so on. The paper analyzed and studied in the BP neural network in the learning process, and has realized the image retrieval method based on the BP neural network relevance feedback technology. The experiment proved that this method is effective, it not only enhanced the image retrieval validity, simultaneously also to have certain study mechanism.
Keywords :
backpropagation; image retrieval; neural nets; relevance feedback; backpropagation neural network; image retrieval; learning process; relevance feedback technology; Image analysis; Image retrieval; Information retrieval; Information technology; Intelligent networks; Libraries; Neural networks; Neurofeedback; Neurons; Space technology; #NAME?;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.296