Evaluation of Scientific Research Ability of Scientific Research Staff Based on Fuzzy Neural Network

被引：0

作者：

Yan, Xiaofeng ^{[1
]}

Zhao, Jie ^{[2
]}

机构：

[1] Chongqing Normal Univ, Sch Management, Foreign Trade Coll, Chongqing, Peoples R China

[2] Chongqing Normal Univ, Foreign Trade Coll, Sch Math & Comp, Chongqing, Peoples R China

来源：

2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA) | 2018年

关键词：

fuzzy neural network; evaluation method; program demonstration ability; project research ability; innovation ability;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In the current evaluation system, the evaluation method is complicated and the subjective factors of expert opinion are too much. This paper establishes a 3-level evaluation index of scientific research ability of scientific research staff based on fuzzy neural network. Fuzzy neural network brings together the advantages of neural network and fuzzy theory, integrating learning, association, recognition, and information processing into a whole, which can more truly reflect the human brain's handling of external information. Using fuzzy neural network design to achieve the research institute staff program demonstration ability, project development ability and innovation ability evaluation method. The test results show that this method can be more reasonable, comprehensive and objective evaluation of scientific research institute staff program demonstration ability, project development capability and innovation ability.

引用

页码：126 / 130

页数：5

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