DocumentCode
552417
Title
Research on the evaluation of the rural informatization of Jiangsu province based on SOM neural network
Author
Shen, Yang ; Huang, Weidong
Author_Institution
Coll. of Econ. & Manage., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear
2011
fDate
16-18 Aug. 2011
Firstpage
111
Lastpage
114
Abstract
In order to promote the development of agricultural modernization, the evaluation of the rural informatization is very significant. By the study of the domestic rural informatization evaluation methods, a new evaluating index system, including 18 indicators, is constructed for Jiangsu province. On the basis of SOM neural network model, which is able to simulate the self-organizing learning without supervision in the training, the index system evaluates the information technology in rural areas of Jiangsu province scientifically. From the evaluation, it is concluded that the overall development of rural informatization in Jiangsu Province, including rural information resource base, information application, information professionals, information production and consumption, is not balanced. The evaluation has a very important significance in guiding the planning and construction of rural informatization.
Keywords
agriculture; learning (artificial intelligence); self-organising feature maps; Jiangsu province; SOM neural network model; agricultural modernization; domestic rural informatization evaluation methods; index system evaluation; information consumption; information production; information professionals; information technology; rural information resource base; rural informatization construction; rural informatization planning; self-organizing learning; self-organizing mapping neural network; Agriculture; Cities and towns; Indexes; Information services; Production; Rural areas; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Content, Multimedia Technology and its Applications (IDCTA), 2011 7th International Conference on
Conference_Location
Busan
Print_ISBN
978-1-4577-0473-4
Electronic_ISBN
978-89-88678-47-3
Type
conf
Filename
6016642
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