The impact of payment delays on bankruptcy prediction: A comparative analysis of variables selection models and neural networks

2017 ◽  
Author(s):  
Fatima Zahra Azayite ◽  
Said Achchab
Keyword(s):  
Neural Networks ◽  
Comparative Analysis ◽  
Bankruptcy Prediction ◽  
Selection Models ◽  
Variables Selection ◽  
The Impact

scholarly journals Thesis Overview Invariance and Same-Equivariance Measures for Convolutional Neural Networks

2020 ◽  
Vol 20 (1) ◽  
pp. e06
Author(s):  
Facundo Quiroga ◽  
Laura Lanzarini
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Comparative Analysis ◽  
Sign Language ◽  
Data Augmentation ◽  
Size Analysis ◽  
Kernel Size ◽  
Weight Initialization ◽  
Latent Representations ◽  
The Impact

The main contributions of this thesis include: A comparative analysis of Neural Network based models for sign language handshape classification. An analysis of strategies to achieve equivariance to rotations in neural networks for: Comparing the performance of strategies based on data augmentation and specially designed networks and layers. Determining strategies to retrain networks so that they acquire equivariance to rotations. A set of measures to empirically analyze the equivariance of Neural Networks, as well as any other model based on latent representations, and the corresponding: Validation of the measures to establish if they are indeed measuring the purported quantity. Analysis of the different variants of the proposed measures. Analysis of the properties of the measures, in terms of their variability to transformations, models and weight initialization. Analysis of the impact of several hyperparameters of the models on the structure of their equivariance, including Max Pooling layers, Batch Normalization, and kernel size. Analysis of the structure of the equivariance in several well known CNN models such as ResNet, All Convolutional and VGG. Analysis of the impact on the equivariance of using specialized models to obtain equivariance such as Transformational Invariance Pooling. Analysis of the class dependency of equivariance. Analysis of the effect of varying the complexity and diversity of the transformations on the measures.

scholarly journals Professional burnout - a comparative analysis considering the selected sectors in Poland

Management ◽  
2012 ◽  
Vol 16 (2) ◽  
pp. 87-101
Author(s):  
Stanisław A. Witkowski ◽  
Magdalena Ślazyk-Sobol
Keyword(s):  
Neural Networks ◽  
Comparative Analysis ◽  
Empirical Research ◽  
Emotional Exhaustion ◽  
Professional Burnout ◽  
Main Application ◽  
Organisational Climate ◽  
Key Sectors ◽  
Organisational Factors ◽  
The Impact

Abstract Professional burnout - a comparative analysis considering the key sectors in Poland The article presents the results of empirical research referring to the problem of burnout caused by professional burnout among staff of the most significant sectors in Poland. The authors presents the first part of the research project which also covered re-examination conducted after the interval of nine months. The research focused at the search for predictors of the phenomenon of burnout which - according to the latest concept of Maslach and Leiter - are as follows: emotional exhaustion, cynicism ad a reduced sense of personal achievements. With the application of neural networks, both the impact of organisational factors (organisational climate, experience of organisational stress) as well as personality-based factors onto the presence of professional burnout was verified. The main application conclusions resulted from the first stage of the research were presented at the end of the article.

Corruption as “one‑stop‑shop”: theory and empirical analysis

2018 ◽  
pp. 32-51
Author(s):  
R. Yu. Kochnev ◽  
L. I. Polishchuk ◽  
A. Yu. Rubin
Keyword(s):  
Comparative Analysis ◽  
Business Environment ◽  
Enterprise Performance ◽  
Double Jeopardy ◽  
One Stop ◽  
The Commons ◽  
Public Production ◽  
Performance Project ◽  
The Impact ◽  
Sector Theory

We present the comparative analysis of the impact of centralized and decentralized corruption for private sector. Theory and empirical evidence point out to a “double jeopardy” of decentralized corruption which increases the burden of corruption upon private firms and weakens the incentives of bureaucracy to provide public production inputs, such as infrastructure. These outcomes are produced by simultaneous free-riding and the tragedy of the commons effects. The empirical part of the paper utilizes data of the Business Environment and Enterprise Performance project.

Assessment of small businesses activities in Ukraine

2019 ◽  
pp. 40-47
Author(s):  
Igor Ponomarenko ◽  
Kateryna Volovnenko
Keyword(s):  
Comparative Analysis ◽  
Statistical Analysis ◽  
Small Business ◽  
Small Businesses ◽  
Government Agencies ◽  
Small Enterprises ◽  
The Subject ◽  
Business Entities ◽  
The Impact ◽  
Micro Enterprises

The subject of the research is a set of approaches to the statistical analysis ofthe activities of small business entities in Ukraine, including micro-enterprises. The purpose of writing this article is to study of the features of functioningof small business entities in Ukraine. Methodology. The research methodology isto use a system-structural and comparative analysis (to study the change in thenumber of small enterprises by major components); monographic (when studyingmethods of statistical analysis of small businesses); economic analysis (when assessing the impact of small business entities on socio-economic phenomena andprocesses in Ukraine). The scientific novelty consists to determine the features ofthe functioning of small businesses in Ukraine in modern conditions. The influenceof the activities of the main socio-economic and political indicators on the activities of small enterprises in recent periods of time has been identified. It has beenestablished that there is flexibility in the development of strategies by small businesses in conditions of significant competition, which makes it possible to quicklyrespond to changing situations in specific markets. Conclusions. The use of acomprehensive statistical analysis of small businesses functioning in Ukraine willallow government agencies to develop a set of measures to optimize the activitiesof these enterprises, which ultimately will positively affect the strengthening oftheir competitiveness and will contribute to the growth of the national economicsystem.

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural

Unemployment as an indicator of economic security in the employment sector: A regional dimension

2020 ◽  
Vol 16 (4) ◽  
pp. 715-729
Author(s):  
T.N. Savina
Keyword(s):  
Comparative Analysis ◽  
Age Groups ◽  
National Development ◽  
Federal District ◽  
Economic Security ◽  
Employment Policy ◽  
Multivariate Statistical ◽  
Band Theory ◽  
The Republic ◽  
The Impact

Subject. To achieve a high level of economic security is a key priority of national development. Employment reveals one of the most important aspects of social development of the individual that is associated with his or her needs satisfaction in the sphere of employment and is boon to economic security. Objectives. The purpose of the study is to show the impact of unemployment on economic security in employment. Methods. I apply such scientific methods as dialectical, historical and logical unity, structural and functional analysis, traditional techniques of economic analysis and synthesis. The methods of multivariate statistical and comparative analysis serve as a methodological basis of the study. To determine the indicator of unemployment, I use the band theory. Results. I underpin the growing role of employment in ensuring economic security. The paper presents a comprehensive assessment of the unemployment status and a comparative analysis of the indicator in the Republic of Mordovia, the Volga Federal District, and the Russian Federation as a whole. I identify trends in the average duration of unemployment, show the distribution of unemployed by level of education and age groups. Conclusions. The average annual unemployment rate in the Republic of Mordovia is lower than in Russia and the Volga Federal District. The findings may be useful for public authorities to substantiate their employment policy at both macro- and meso-levels, for designing programs and strategies for socio-economic development of regions and the social security doctrine, as well as in practical activities of employment services.

Directions of Accounting Environmental Factors for Forecasting Formation of Agroecosystems

2020 ◽  
pp. 31-35
Author(s):  
L.Z. Khalishkhova ◽  
◽  
A. Kh. Temrokova ◽  
I.R. Guchapsheva ◽  
K.A. Bogаtyreva ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Comparative Analysis ◽  
Environmental Factors ◽  
Environmental Safety ◽  
Logical Analysis ◽  
Management Decisions ◽  
The Sustainable Development ◽  
The Impact

Ensuring the sustainable development of agroecosystems requires research into the justification of the impact of environmental factors on the formation of territorial agroecosystems and identifies ways to take them into account in order to justify management decisions and ensure environmental safety. The main goal of the research within the article is to identify the most significant environmental factors in predicting the formation of agroecosystems. Provisions are devoted to the study of the laws governing the functioning of agroecosystems in order to increase their stability. The methods of comparative analysis, generalization, abstraction, logical analysis are applied. A number of provisions are formulated regarding ways to account for the influence of factors on the formation of key elements of agroecosystems.

Features and tendencies of budgetary provision of Zaporizhzhya region development in the conditions of budget decentralization

2019 ◽  
pp. 88-97
Author(s):  
Iryna Storonyanska ◽  
Liliya Benovska
Keyword(s):  
Comparative Analysis ◽  
Regional Development ◽  
State Budget ◽  
Regional Center ◽  
The Social ◽  
Graphical Visualization ◽  
Social And Economic Development ◽  
Decentralization Reform ◽  
Regional Development Strategies ◽  
The Impact

The purpose of the article is to study trends and identify problems of budgetary provision of the development of Zaporizhzhia region in the context of budgetary decentralization reform. Methods of systematic and comparative analysis, graphical visualization, generalization and statistical methods were used for the study. The article examines the impact of decentralization reform on the financial provision of social and economic development of administrative and territorial units of Zaporizhzhia region. The comparative analysis of the budgetary provision of the development of Zaporizhzhya region and other regions of the Central region is conducted. The article describes the trends and problems of Zaporizhzhya region development. The following positive trends were revealed: increase of revenues to local budgets of the region; reduction of transfer dependence of the region on the state budget; formation of high-taxation CTCs. The negative tendencies of development were: increase of differentiation of financial provision of the development of the regional center and other administrative and territorial units, reduction of the growth rate of revenues to the development budget of Zaporizhzhia region. Attention is drawn to the fact that under the conditions of decentralization reform and administrative and territorial reform, consolidated territorial communities are actively being formed in the Zaporizhzhya region, most of them with high financial capacity, which testifies to the high potential of regional development. The article analyzes the regional target programs of Zaporizhzhia region and clarifies the possibilities of their integration with the Action Plans for implementation of the Regional Development Strategies. The dominance of the social component over the development of regional target programs and low level of implementation of a number of programs are emphasized.

Comparative analysis of intelligent planning methods

2012 ◽  
Vol 9 (2) ◽  
pp. 53-57 ◽  
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Mobile Robots ◽  
Sensory Information ◽  
Working Environment ◽  
Planning Methods ◽  
Intelligent Planning

The main stages of solving the problem of planning movements by mobile robots in a non-stationary working environment based on neural networks, genetic algorithms and fuzzy logic are considered. The features common to the considered intellectual algorithms are singled out and their comparative analysis is carried out. Recommendations are given on the use of this or that method depending on the type of problem being solved and the requirements for the speed of the algorithm, the quality of the trajectory, the availability (volume) of sensory information, etc.

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