An improved BP algorithm for classification of architectural ceramic material

Author(s):  
Jiao Zhang ◽  
Yun Yang
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Haisheng Song ◽  
Ruisong Xu ◽  
Yueliang Ma ◽  
Gaofei Li

The back propagation neural network (BPNN) algorithm can be used as a supervised classification in the processing of remote sensing image classification. But its defects are obvious: falling into the local minimum value easily, slow convergence speed, and being difficult to determine intermediate hidden layer nodes. Genetic algorithm (GA) has the advantages of global optimization and being not easy to fall into local minimum value, but it has the disadvantage of poor local searching capability. This paper uses GA to generate the initial structure of BPNN. Then, the stable, efficient, and fast BP classification network is gotten through making fine adjustments on the improved BP algorithm. Finally, we use the hybrid algorithm to execute classification on remote sensing image and compare it with the improved BP algorithm and traditional maximum likelihood classification (MLC) algorithm. Results of experiments show that the hybrid algorithm outperforms improved BP algorithm and MLC algorithm.


1991 ◽  
Vol 86 ◽  
pp. 149-271 ◽  
Author(s):  
Nicoletta Momigliano

This article is a critical reassessment of the major Knossian deposits assigned by Evans to the Middle Minoan I A phase. It is divided into three main sections: first, an introduction, in which the author discusses the development of the definition of Knossian MM IA pottery; second, a detailed discussion of each deposit, based upon a systematic and first-hand re-examination of the ceramic material, and of the relevant written sources; third, a discussion of the problems concerning the classification of these deposits, and a typological study of their ceramic assemblages. The picture of Knossian MM IA pottery which emerges from this study is remarkably different from that presented by Evans, which is generally accepted. This has further implications not only for the study of Minoan pottery, but also for the early history of the site.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 52749-52758
Author(s):  
Teng Shen ◽  
Jiaqing Chang ◽  
Zhongwei Liang

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