scholarly journals SOFTWARE APPLICATION FOR CALCULATING MODELS FORECASTING INNOVATIVE DEVELOPMENT OF INDUSTRIES

2019 ◽  
Vol 45 (3) ◽  
pp. 123-133
Author(s):  
M. M. Mirzemagomedova ◽  
M. M. Muradov
Keyword(s):  
Multiple Regression ◽  
Object Oriented Programming ◽  
Visual Object ◽  
Innovative Development ◽  
Form Complex ◽  
Development Indicators ◽  
Software Application ◽  
C Programming ◽  
Software Product ◽  
Processing Information

Objectives. The article is devoted to the development of a software application that allows you to automate methods for collecting and processing information, as well as perform time-consuming analytical calculations. Embarcadero C ++ Builder XE, a visual object-oriented programming language, was used to implement a software application. The software being developed is created to solve the following tasks: a comparative analysis of innovative development indicators for the selected years; selection of a projected indicator, building a regression model; making a forecast with a lead time of 3; determination of the confidence interval; the formation of a graphical display of observable and calculated values, the selected indicator of innovative development.Method. In a software application, formalized methods were used as a mathematical model, one of which is multiple regression. Regression analysis consists in defining an analytical expression of a relationship in which a change in a single quantity, called a dependent or productive attribute, is due to the influence of one or several independent quantities (factors).Result. With the help of the developed software product, you can not only automate time-consuming methods of collecting and processing information, but also per-form complex analytical calculations using the multiple regression method.Conclusion. Embarcadero C ++ Builder XE is by far the latest state-of-the-art technology and C ++ programming environment. With C ++ Builder, XE has become faster to do the job of creating high-quality applications for Windows-based applications, due to the rapid writing of code, new tools and components.

EVALUATION OF THE EFFECTIVENESS OF INNOVATIVE DEVELOPMENT OF HIGH-TECH SECTORS OF THE RUSSIAN ECONOMY

2021 ◽  
Vol 3 (5) ◽  
pp. 19-22
Author(s):  
A. M. GUBERNATOROV ◽  
Keyword(s):  
Large Scale ◽  
High Tech ◽  
Economic Systems ◽  
Innovative Development ◽  
Development Indicators ◽  
Russian Economy ◽  
Main Development ◽  
Key Indicators ◽  
Digital Processes

The article deals with the management of innovative development of economic systems. Enterprises of high-tech sectors of the economy were selected as the object of the study. It is proved that innovative trans-formations in the chosen industry are inevitable and this industry is undergoing significant transformations caused by large-scale digital processes. It is proved that the effectiveness of the innovative development of the industry is associated with the monitoring of its main development indicators, and therefore a system for evaluating the innovative development of high-tech industries based on key indicators is proposed.

scholarly journals APPLICATION OF NEURAL NETWORK TECHNOLOGIES IN THE DENTAL CARIES FORECAST

2020 ◽  
Vol 73 (7) ◽  
pp. 1499-1504
Author(s):  
Oleksandr A. Udod ◽  
Hanna S. Voronina ◽  
Olena Yu. Ivchenkova
Keyword(s):  
Neural Network ◽  
Dental Caries ◽  
Old Patients ◽  
Software Application ◽  
The Neural Network ◽  
Software Product ◽  
High Level ◽  
Network Technologies ◽  
Python Programming ◽  
And Training

The aim: of the work was to develop and apply in the clinical trial a software product for the dental caries prediction based on neural network programming. Materials and methods: Dental examination of 73 persons aged 6-7, 12-15 and 35-44 years was carried out. The data obtained during the survey were used as input for the construction and training of the neural network. The output index was determined by the increase in the intensity of caries, taking into account the number of cavities. To build a neural network, a high-level Python programming language with the NumPay extension was used. Results: The intensity of carious dental lesions was the highest in 35-44 years old patients – 6.69 ± 0.38, in 6-7 years old children and 12-15 years old children it was 3.85 ± 0.27 and 2.15 ± 0.24, respectively (p <0.05). After constructing and training the neural network, 61 true and 12 false predictions were obtained based on these indices, the accuracy of predicting the occurrence of caries was 83.56%. Based on these results, a graphical user interface for the “CariesPro” software application was created. Conclusions: The resulting neural network and the software product based on it permit to predict the development of dental caries in persons of all ages with a probability of 83.56%.

Computer Implementation of Genetic Programming

2018 ◽  
pp. 132-182
Keyword(s):  
Genetic Programming ◽  
Programming Languages ◽  
Programming Language ◽  
Object Oriented Programming ◽  
Computer Implementation ◽  
Classification Problems ◽  
Development Environment ◽  
Terminal Set ◽  
C Programming ◽  
Multiclass Classification Problems

This chapter presents the computer implementation of the tree-based genetic programming in C# programming language. Since C# is a common object-oriented programming language, with little modification the source code presented in the chapter can be easily transformed into Java or C++ programming languages. The chapter covers all aspects of the implementation: node, chromosome, population, function set, and terminal set class implementations. The chapter is carefully structured, so at the end of the chapter fully working GP computer program will be implemented which can solve regression and multiclass classification problems. The reader should not worry about specific operating system, or development environment, since all code implementations are based on cross-OS and open source integrated development environment visual studio code which can run on Windows, Mac, or Linux.

Software Performance Estimate using Fuzzy Based Backpropagation Learning

2016 ◽  
pp. 376-398
Author(s):  
Khaleel Ahmad ◽  
Gaurav Kumar ◽  
Abdul Wahid ◽  
Mudasir M. Kirmani
Keyword(s):  
Software Industry ◽  
Performance Measure ◽  
Performance Estimation ◽  
Accurate Estimation ◽  
Software Performance ◽  
Daily Lives ◽  
Software Application ◽  
Performance Estimate ◽  
Efficient Performance ◽  
Software Product

Accurate estimation of the software performance and its reliability is an important task in designing, developing and implementing software as per the desired requirements. With the increase in individuals relying on software application in their daily lives has resulted in increase in demand for good quality software with efficient performance. The professionals in the software industry are facing an uphill task of developing software with efficient performance measure and at the same time capable of evaluating software performance. In order to evaluate software performance it is necessary to have a method to estimate the software performance. The estimation of software performance plays an important role in predicting acceptability and longevity of a software product. Software performance estimation is essential in existing software-dominated environment where part of daily life is directly or indirectly dependent on software for fulfilling requirements. In this chapter discusses the reasons underlying the proposals and shows the pitfalls associated to these software attributes.

scholarly journals LEARN C++ PROGRAMMING LANGUAGE

2021 ◽  
Author(s):  
RAMESH R ◽  
THIRUMARAN S
Keyword(s):  
Programming Language ◽  
Basic Characteristic ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Text Book ◽  
C Programming Language ◽  
C Programming

This book was written for readers those who are interested to learn C++ programming language with easy way and effective to enhance their knowledge of C++. It is the goal of our career beginning to design this text with the capabilities of text book and also reference book.The chapter one gives a thorough description of the basic characteristic of object oriented programming C++ and gives some sample program to the readers.

The economic security of the Russian Federation: An innovative aspect

2021 ◽  
Vol 17 ◽  
pp. 1029-1051
Author(s):  
Ekaterina N. STRIZHAKOVA ◽  
Dmitrii V. STRIZHAKOV
Keyword(s):  
Russian Federation ◽  
Economic Security ◽  
Innovative Development ◽  
Real Economy ◽  
Development Indicators ◽  
Global Innovation ◽  
National Economic ◽  
Utility Models ◽  
The Russian Federation ◽  
Patent Applications

Subject. The article focuses on the articulation of the innovative policy in maintaining the national security of the Russian Federation. Objectives. We evaluate the current situation in the Russian Federation in terms of innovative development and compare it with other countries. The study also determines what impedes the deployment of innovation across regions. Methods. The methodological framework is based on the comparative analysis of innovative development indicators of Russia and countries all around the world. Results. We examined key economic security imperatives of the Russian Federation. The development of innovation is proved to be the only vector that will help Russia remain competitive worldwide. The national economic security is found to mainly depend on the efficiency of innovative activities in the real economy. We provide the comparative description of innovation indicators of China, Germany and the Russian Federation. The article also analyzes changes in the innovative development of the Russian regions, illustrating the case of the Bryansk Oblast. Conclusions and Relevance. China is an undeniable leader by the number of patent applications for inventions, utility models, industrial specimens. As the analysis shows, there is a close and direct relationship in China between resident’s patent applications and GDP. The fact signifies that the economic growth of the country does not draw upon innovation. Notwithstanding efforts, Russia’s Global Innovation Index has remained almost the same for the recent years, with Innovation Output sub-index even falling.

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