Research and Construction of Scientific Research Project Sharing Platform Based on Neural Network

Author(s):  
Ying Jiang ◽  
Xinxin Shao ◽  
Yuying Peng
2013 ◽  
Vol 756-759 ◽  
pp. 1696-1700 ◽  
Author(s):  
Yi Lin Wang ◽  
Guo Xin Wang ◽  
Yan Yan

Traditional scientific research project cost estimating method cannot meet accuracy and practicability at the same time. Aiming at this problem, scientific research project cost estimating method based on neural network was built. Firstly, the construction and influencing factors of scientific research project cost were analyzed. Secondly, an estimating model based on improved BP neural network was built; a nonlinear expression between influencing factors (input) and cost (output) was created. Finally, an estimating system with the model was implemented by Java. The effectiveness of the method was tested. Testing experiment showed the estimating model based on improved BP neural network is reliable and the precision is high.


2015 ◽  
Vol 743 ◽  
pp. 633-640
Author(s):  
Sheng Ju Yang ◽  
Shao Ting Shi ◽  
Jie Meng

Starting from the introduction of the management of scientific research project, and then gives a detailed description based on J2EE architecture, the lightweight composite framework involving Spring, Struts and iBATIS and an iterative method is employed in project management. With a series of functions such as application, recommendation, processing, approval, assessment and management of scientific research project and so on, the system has the characteristics of easy maintenance, dynamic propagation and strong expansibility. Finally the safety of the system is discussed from two perspectives, namely its design and environment. Years’ of application in the management of scientific research project in Gansu Province has proved its good stability, fast response and high safety.


2014 ◽  
Vol 971-973 ◽  
pp. 2317-2320
Author(s):  
Xiang Jun Yu ◽  
Chao Xie ◽  
Tian Ming Huang

This paper briefly introduces the basic connotation of earned value management, determine, from the target variable management process design, system function design and system implementation four aspects that the management of defense scientific research project management system design and implementation process based on the earned value, and some reasonable countermeasures to promote the use of the system.


2013 ◽  
Vol 373-375 ◽  
pp. 2232-2236
Author(s):  
Ya Mei Zhang

The paper analyzes mechanism of scientific research project reporting and implementation process quality assessment, constructing multi-strategy evaluation architecture model based on the N-level fuzzy idea. The model highlights the characteristics including the effectiveness, specificity, sensitivity and comparability in scientific research project quality evaluation. And the model uses of vector combination method and DEMATEL method to optimize the weights of evaluation factors in evaluation system and designs reasonable scientific evaluation system.


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