Scientific Research Project Cost Estimating Method and System Based on Improved BP Neural Network

2013 ◽  
Vol 756-759 ◽  
pp. 1696-1700 ◽  
Author(s):  
Yi Lin Wang ◽  
Guo Xin Wang ◽  
Yan Yan
Keyword(s):  
Neural Network ◽  
Influencing Factors ◽  
Bp Neural Network ◽  
Scientific Research ◽  
Cost Estimating ◽  
Research Project ◽  
Project Cost ◽  
Model Based ◽  
Scientific Research Project ◽  
Testing Experiment

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.

Research of Evaluation Index System Model Based on the Multi-Strategy

2013 ◽  
Vol 373-375 ◽  
pp. 2232-2236
Author(s):  
Ya Mei Zhang
Keyword(s):  
Evaluation System ◽  
Scientific Research ◽  
Implementation Process ◽  
Evaluation Index System ◽  
Combination Method ◽  
Research Project ◽  
Architecture Model ◽  
Model Based ◽  
Scientific Research Project ◽  
Strategy Evaluation

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.

scholarly journals Research on Substation Project Cost Prediction Based on Sparrow Search Algorithm Optimized BP Neural Network

2021 ◽  
Vol 13 (24) ◽  
pp. 13746
Author(s):  
Xiaomin Xu ◽  
Luyao Peng ◽  
Zhengsen Ji ◽  
Shipeng Zheng ◽  
Zhuxiao Tian ◽  
...  
Keyword(s):  
Neural Network ◽  
Influencing Factors ◽  
Bp Neural Network ◽  
Prediction Accuracy ◽  
Search Algorithm ◽  
Power Grid ◽  
Engineering System ◽  
Project Cost ◽  
Total Investment ◽  
Engineering Cost

The prediction of power grid engineering cost is the basis of fine management of power grid engineering, and accurate prediction of substation engineering cost can effectively ensure the fine operation of engineering funds. With the continuous expansion of the engineering system, the influencing factors and data dimensions of substation project investment are gradually diversified and complex, which further increases the uncertainty and complexity of substation project cost. Based on the concept of substation engineering data space, this paper investigates the influencing factors and constructs the static total investment intelligent prediction model of substation engineering. The emerging swarm intelligence algorithm, sparrow search algorithm (SSA), is used to optimize the parameters of the BP neural network to improve the prediction accuracy and convergence speed of neural network. In order to test the validity of the model, an example analysis is carried out based on the data of a provincial substation project. It was found that the SSA-BP can effectively improve the prediction accuracy and provide new methods and approaches for practical application and research.

Research and Safety Design on the Scientific Research Project Management System Based on J2EE

2015 ◽  
Vol 743 ◽  
pp. 633-640
Author(s):  
Sheng Ju Yang ◽  
Shao Ting Shi ◽  
Jie Meng
Keyword(s):  
Project Management ◽  
Scientific Research ◽  
Fast Response ◽  
Gansu Province ◽  
Research Project ◽  
Project Management System ◽  
Dynamic Propagation ◽  
Scientific Research Project ◽  
J2ee Architecture ◽  
Series Of Functions

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.

Design and Realization of Defense Equipment Scientific Research Project Management System Based on Earned Value Management

2014 ◽  
Vol 971-973 ◽  
pp. 2317-2320
Author(s):  
Xiang Jun Yu ◽  
Chao Xie ◽  
Tian Ming Huang
Keyword(s):  
Project Management ◽  
Management System ◽  
Scientific Research ◽  
Design System ◽  
Value Management ◽  
Earned Value ◽  
Research Project ◽  
Earned Value Management ◽  
Project Management System ◽  
Scientific Research Project

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.

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