Performance evaluation index system of provincial government information resources integration and sharing based on big data

Author(s):  
Mingle Zhou ◽  
Yu Wang ◽  
Gang Li ◽  
Yiming Liu ◽  
Yikai Liang
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huashan Zhan

In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.


2013 ◽  
Vol 869-870 ◽  
pp. 856-859
Author(s):  
Liang Hu Xu ◽  
Ming Cao ◽  
Qing Miao

In this paper, from the perspective of network innovative process, we comes up with the basic assumption, that is, the network innovation can promote absorptive capacity of industrial clusters products so as to improve the innovation performance of the enterprises in cluster. On the basis of this, this paper adopts correlation analysis method to verify the influence extent of productive service industry cluster innovation network on innovation performance. Therefore, we find critical influencing factors of network nodes and set up the innovation performance evaluation index system of productive service industry cluster.


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