Construction of Intelligent City Evaluation System Based on Entropy Model

2017 ◽  
Author(s):  
Ye Zheng ◽  
Miaochao Chen
Keyword(s):  
Evaluation System ◽  
Entropy Model ◽  
Intelligent City

Assessment of Regional Water-Human Harmony Based on ANP-Entropy Model

2014 ◽  
Vol 692 ◽  
pp. 121-126 ◽  
Author(s):  
Mei Wang ◽  
De Shan Tang ◽  
Ijaz Ahmad ◽  
Jin Xin Zhang
Keyword(s):  
Natural Water ◽  
Evaluation System ◽  
Water Resource Management ◽  
Evaluation Model ◽  
Water System ◽  
Gansu Province ◽  
Human Relationship ◽  
Entropy Model ◽  
Practical Applications ◽  
Regional Water

Aiming at interactions between human system and water system, a new evaluation system for water-human harmony index (WHHI) was built on the base of triple criteria: Natural water cycle’s health degree (NWHD), Social water cycle’s rationality degree (SWRD) and Human-to-water fitness degree (HWFD). Analytic Network Process (ANP) and Entropy Mothed were applied to the evaluation model for Water-human harmony degree (WHHD). With relevant data of WHHI in Zhangye city, Gansu province, the state of the water-human relationship in Zhangye was assessed from each criterion angle and the result showed that water-human harmony situation as a whole was on the upswing, while the trouble of natural water cycle’s health was the biggest shortcoming in the process of harmonious development. This evaluation model can satisfy practical applications and reflect regional objective reality on water-human relationship, which has a certain guiding significance for regional water resource management.

A proposed method for assessing the quality of sealants - the CCC Sealant Evaluation System

2001 ◽  
Vol 29 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Christopher Deery ◽  
Hazel E. Fyffe ◽  
Zoann J. Nugent ◽  
Nigel M. Nuttall ◽  
Nigel B. Pitts
Keyword(s):  
Evaluation System

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

Development and Implementation of Productivity Evaluation System: Design Standard Time Ratio

2012 ◽  
Vol 2 (4) ◽  
pp. 134-137
Author(s):  
Prof. Varsha karandikar ◽  
◽  
Sameer Deshpande ◽  
Pratik Deshmukh
Keyword(s):  
System Design ◽  
Evaluation System ◽  
Design Standard ◽  
Standard Time ◽  
Time Ratio
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