scholarly journals Application of Deep Learning in Financial Management Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenlei Shi ◽  
Lei Xu ◽  
Dongli Peng
Keyword(s):  
Deep Learning ◽  
Financial Management ◽  
Evaluation Model ◽  
Principal Component ◽  
Model Learning ◽  
Analytic Hierarchy ◽  
Management Evaluation ◽  
Learning Evaluation ◽  
Hierarchy Process ◽  
Satisfactory Prediction

The competition among enterprises is becoming increasingly fierce. The research on the financial management evaluation model is helpful for enterprises to find possible risks as soon as possible. This paper constructs the financial management evaluation model based on the deep belief network and applies the analytic hierarchy process to determine the weight of financial management evaluation indicators, which is compared with other classical deep learning evaluation methods, such as KNN, SVM-RBF, and SVM linear. It has achieved an accuracy of more than 81%, showing a satisfactory prediction effect, which is of great significance to formulate corresponding countermeasures, strengthen financial management, improve the capital market system, and promote high-quality economic development. In addition, aiming at the problem of abnormal financial data, this paper uses the new sample dataset obtained by principal component analysis for convolution neural network model learning, which enhances the prediction accuracy of the model and fully shows that deep learning is feasible in the research of financial management prediction, and there is still a lot of space to explore.

Research of Minimum Ship Safety Manning for Trial

2012 ◽  
Vol 424-425 ◽  
pp. 828-832
Author(s):  
Xiao Dong Zhang ◽  
Hao Zhang ◽  
Wei Jiong Chen
Keyword(s):  
Principal Component Analysis ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Principal Component ◽  
Qualitative Evaluation ◽  
Current Level ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Ship Safety ◽  
Topsis Model

The evaluation model of a new assignment of manning on board of coasters while maintaining the current level of safety is proposed. Principal Component Analysis (PCA) is applied to determine the relative weights of the quantitative evaluation criteria, and fuzzy analytic hierarchy process (FAHP) is applied to determine the relative weights of the qualitative evaluation criteria. Finally, Topsis model is applied to rank the alternatives. Empirical results show that the proposed methods are viable approaches in solving the evaluation the minimum Ship Safety Manning

Application of Operations Research in Management

2013 ◽  
Vol 457-458 ◽  
pp. 1648-1652
Author(s):  
Yong Zhou ◽  
Jing Qi
Keyword(s):  
Graduate Education ◽  
Operations Research ◽  
Financial Management ◽  
Evaluation Model ◽  
Decision Problems ◽  
Limited Resources ◽  
Analytic Hierarchy ◽  
Hierarchical Evaluation ◽  
The University ◽  
Hierarchy Process

Operations research as a branch of comprehensive and multidisciplinary cross science, there are two types of decision problems. The first one is how to make use of resource to fulfill the tasks as much as possible. The other one is how to Using the least amount of resources to complete a certain task. The planning model about resource utilization in the factory is built through the investigation and analysis. It uses limited resources to complete the production task at most. In the actual problems of the university financial management and daily life, multi-target optimization is necessary. Analytic hierarchy process is used to built Hierarchical evaluation model and make decision of how to select school for graduate education.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network

2014 ◽  
Vol 4 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ruiting Xu ◽  
Zhigeng Fang ◽  
Jinyu Sun
Keyword(s):  
Evaluation Model ◽  
Estimation Method ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Complex Products ◽  
Reasonable Approach ◽  
Estimate Quality ◽  
Grey Number ◽  
Hierarchy Process

Purpose – The purpose of this paper is to find out a scientific method to evaluate quality of complex products, whose quality is different from general products. Design/methodology/approach – Based on interval grey number theory, reliability analysis method and stochastic network theory, authors have established grey success tree analysis-graph evaluation and review technique (GSTA-GERT) model in this paper. Findings – Comparing complex products and general products, authors have found that complex products have two characters, i.e. quality of manufacture and quality of service. Furthermore, this paper has proved the GSTA-GERT model is a scientific and reasonable approach to estimate quality of complex products from the sight of manufacture-service network. Originality/value – This paper has established GSTA-GERT model, which surmounts the defect of traditional estimation method, such as lacking logic analysis in the method of analytic hierarchy process.

Decision Evaluation of Harbin Metro Based on Fuzzy Theory

2013 ◽  
Vol 438-439 ◽  
pp. 1024-1027
Author(s):  
Xiao Guo Chen
Keyword(s):  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Decision Makers ◽  
Geological Environment ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Model ◽  
Hierarchy Process ◽  
Weight Coefficients

The paper introduces some information about Harbin Metro line 1, makes the decision analysis on economies, environment, society and geological environment of Harbin Metro line 1 by some fuzzy comprehensive evaluation model, and gives the weight coefficients of indicators through analytic hierarchy process. The comprehensive evaluation result provides the basis for decision-makers during decision of metro projects.

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