An improved BP algorithm for classification of architectural ceramic material

Author

Zhang, Jiao ; Yang, Yun

Author_Institution

Sch. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China

Volume

2

fYear

2010

fDate

25-27 June 2010

Abstract

This paper proposes a new method to classify architectural ceramic materials by using Genetic algorithm and Artificial Neural Network (ANN). And it addressed the training of a classifier for identification of architectural ceramic materials. By means of the global searching trait of genetic algorithm and the best searching trait of BP algorithm, the combination of them is the best way to optimize the interconnection weights. It makes full use of the improved BP algorithm to classify architectural ceramics materials, which makes classification results faster and more accurate.

Keywords

architecture; backpropagation; ceramic industry; genetic algorithms; neural nets; pattern classification; production engineering computing; BP algorithm; architectural ceramic material; artificial neural network; genetic algorithm; material classification; Artificial neural networks; Biological materials; Ceramics; Classification algorithms; Composite materials; Genetic algorithms; Manufacturing; Minerals; Production; Raw materials; BP algorithm; architectural ceramics materials; classification; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5541373

Filename

5541373