scholarly journals Simulation of knowledge development in an innovation system based on neural network model

2021 ◽  
Vol 2094 (3) ◽  
pp. 032044
Author(s):  
V P Soloviev ◽  
V L Rozaliev
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Innovation System ◽  
The State ◽  
Knowledge Development ◽  
Self Organization ◽  
Innovative Development ◽  
National Innovation Systems ◽  
Brics Countries ◽  
Made In

Abstract Innovative development is impossible without the support of scientific research capable of forming fundamentally new technological approaches. The process of knowledge development cannot be fully formalized, therefore, management decisions are made in conditions of uncertainty. The models developed on the basis of self-organization are the most effective for predicting the development of knowledge in the innovation system. On the basis of the developed recurrent neural network, the analysis of the influence of the state scientific and technical policy on the formation of the strategies of the actors of the national innovation systems of the BRICS countries is carried out. The determinants of the influence of the state scientific and technical policy on the development of knowledge in the innovation system are revealed.

scholarly journals DEVELOPMENT OF NATIONAL INNOVATION SYSTEMS OF COUNTRIES AS А FACTOR IN OVERCOMING DIFFICULTIES DURING THE PANDEMIC

2020 ◽  
Author(s):  
Igor Gusarov ◽  
Keyword(s):  
Global Economy ◽  
Innovation Systems ◽  
Scientific Production ◽  
The State ◽  
Innovative Development ◽  
National Innovation Systems ◽  
Brics Countries ◽  
Leading Role ◽  
Role Of The State

The development of their national innovation systems has an important impact on increasing the competitiveness of countries in the global economy. The study revealed the insignificant role of universities in the creation and implementation of national innovation systems of the BRICS countries. At the same time, the leading role of the state in this process was revealed. An analysis of the innovative development of the BRICS countries made it possible to determine the main elements of its potential: state, scientific, production and financial potential. The analysis made it possible to identify important problems of the innovative development of the BRICS countries, as well as to determine the main directions for solving the problems associated with the coronavirus pandemic.

Innovative development of the national university system in Russia: trends and key elements

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuriy I. Razorenov ◽  
Konstantin V. Vodenko
Keyword(s):  
Innovation Policy ◽  
Innovation System ◽  
National Innovation System ◽  
The State ◽  
World Intellectual Property Organization ◽  
Innovative Development ◽  
Content Type ◽  
The World ◽  
The University ◽  
University Industry

PurposeThe goal of the research is to analyze the university development trends in the national innovation system. The paper presents a review of the formation of innovative development strategies and the place of a university in them. The structure is based on the analysis of foreign trends of the transformation of universities and the examination of the efficiency of the interaction between the university, industry and the state. Russian experience in the transformation of universities is presented.Design/methodology/approachResearch methodologies include methods of statistical and comparative analysis and synthesis. The information analysis base of the research is composed of the reports of the World Intellectual Property Organization at year-end 2019, as well as global comparative assessments of the status and development of innovation activities by the Global Innovation Index and Global Competitiveness Index, which are calculated according to the methodology of the World Economic Forum and others.FindingsIn the course of research, the authors put forward a new model of universities within the framework of the national innovation system, which is based on the “triple helix model of innovation” implemented by universities, industry and the state. The logic and structure of the research are set forth in the following way. First, a review of the global practice of the formation and implementation of state innovation policy is given, with the university being a key link, the foreign experience in the transformation of universities is analyzed and the efficiency of the interaction between the university, industry and the state is examined. Furthermore, consideration is given to the Russian experience in the transformation of universities. In conclusion, the main findings of the research are presented.Practical implicationsResults testify that goals and objectives that can be solved by achieving indicators in the world rankings are important for improving competitiveness of education, but they are only efficient if they conform to management decisions that are taken for achieving them and coincide with strategic goals and directions that should be implemented within the framework of the national innovation and academic system.Originality/valueResearch hypothesis is as follows: modern age is characterized by the rapid development of digital technologies and globalization processes, which transform technologies and cultural patterns into techniques and methods of working with information. Despite the fact that a university is the center for the development of society and culture, which serves as an axiological core, it is subject to the transformation, which is mainly manifested in instrumental changes and the expansion of the social procurement range. The modern educational system is yet to find a contemporary conceptual framework of a university that would satisfy the up-to-date requirements of the global information society in an age of digital revolution and dominate in the educational services market.

Entrepreneurial Innovative Network and the Design of Socio-Economic Neural Systems

2020 ◽  
Vol 12 (4) ◽  
pp. 1-23
Author(s):  
Olga Tikhomirova
Keyword(s):  
Neural Network ◽  
Decision Making ◽  
Group Dynamics ◽  
Innovation System ◽  
The Other ◽  
Self Organization ◽  
Neural Systems ◽  
Collective Decision Making ◽  
The World ◽  
The Individual

This article aims to establish how an idea becomes an innovation and how creativity, collective dynamics, and information are interconnected. The results of the author's study showed that the emergence of innovations is closely connected with collective collaboration, and that it is impossible outside of group dynamics. The process of self-organization and collective decision-making is realized through a synergistic interaction, which then transforms into the so-called “information laser” and serves as a basis for the emergence of innovation. Both individuals, as persons and as separate entrepreneurs, are the elements of the innovation system and the actors of the artificial neural network, socio-economic neural systems (SENS-systems). These systems act through self-organization and corporate collaboration, and the efforts of each element are amplified through the interaction with the other elements. The model of the SENS-systems can explain how the individual idea transforms into innovation and spreads throughout the world.

Self-Organization of Local Cortical Circuits and Cortical Orientation Maps: A Nonlinear Hebbian Model of the Visual Cortex with Adaptive Lateral Couplings

2001 ◽  
Vol 56 (5-6) ◽  
pp. 464-478 ◽  
Author(s):  
Thomas Burger ◽  
Wolfgang Lang
Keyword(s):  
Neural Network ◽  
Visual Cortex ◽  
Recurrent Neural Network ◽  
Neural Network Model ◽  
Self Organization ◽  
Cortical Circuits ◽  
Random Input ◽  
Intracortical Circuits ◽  
Orientation Maps ◽  
Lateral Coupling

A nonlinear, recurrent neural network model of the visual cortex is presented. Orientation maps emerge from adaptable afferent as well as plastic local intracortical circuits driven by random input stimuli. Lateral coupling structures self-organize into DOG profiles under the influence of pronounced emerging cortical activity blobs. The model’s simplified architecture and features are modeled to largely mimik neurobiological findings.

scholarly journals Formation of public management mechanisms for innovative development of the agriculture of Ukraine

2020 ◽  
Vol 8 (2) ◽  
pp. 71-78
Author(s):  
Tetyana Sokolska ◽  
Svitlana Polishchuk ◽  
Olha Bilyk
Keyword(s):  
Decision Making ◽  
Rural Communities ◽  
Public Management ◽  
Institutional Environment ◽  
Innovation System ◽  
The State ◽  
Innovative Development ◽  
Funding Sources ◽  
Decision Making System ◽  
The One

The research deals with studying the factors impeding formation and functioning the innovation and investment system in Ukraine including the following: lack of innovations funding sources; imperfection of infrastructure for innovations creation and implementation; lack of necessary information on market prospects of the existing ideas and knowledge as well as advisory support of the project running from the idea to the commercialization stage; lack of established communication between scientists and business representatives. In addition, the industry is not institutionally prepared for running these processes, there is no system ensuring the innovative interest of producers. It is justified that for innovation changes, management system modernization at all levels, the development of integrated decision-making system in order to gain a competitive advantages at both the level of products generated and the industry in general are necessary along with other important factors. Also, the efficiency of public management of innovation processes is justified.It has been proved that the main directions of formation of an effective mechanism for public management of innovative development of agriculture should be: development of the institutional environment of the innovation system; state support of innovative activity, improvement of the system of development and support of small and medium business; facilitating the implementation of a public-private partnership mechanism; creation of agrarian clusters; active educational activities aimed at engaging community residents to participate in the decision-making process for the development of their territories and to realize the need to solve problems on their own.It is suggested that regional agricultural universities, together with rural communities and other public organizations of technological platforms (with the support of the state), where Agrarian business and the state, UTC, can become potential customers of innovations are proposed. On the one hand, business, UTC and the state make a request to solve their problems, and on the other, scientists, students, inventors offer innovative solutions that are further scaled and become the basis for their own innovative business.

scholarly journals Susceptibility to Seismic Amplification and Earthquake Probability Estimation Using Recurrent Neural Network (RNN) Model in Odisha, India

2020 ◽  
Vol 10 (15) ◽  
pp. 5355 ◽  
Author(s):  
Ratiranjan Jena ◽  
Biswajeet Pradhan ◽  
Abdullah M. Alamri
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
High Intensity ◽  
Intensity Variation ◽  
The State ◽  
Earthquake Catalog ◽  
Alluvial Deposits ◽  
Earthquake Probability ◽  
Probability Map ◽  
Seismic Amplification

The eastern region of India, including the coastal state of Odisha, is a moderately seismic-prone area under seismic zones II and III. However, no major studies have been conducted on earthquake probability (EPA) and hazard assessment (EHA) in Odisha. This paper had two main objectives: (1) to assess the susceptibility of seismic wave amplification (SSA) and (2) to estimate EPA in Odisha. In total, 12 indicators were employed to assess the SSA and EPA. Firstly, using the historical earthquake catalog, the peak ground acceleration (PGA) and intensity variation was observed for the Indian subcontinent. We identified high amplitude and frequency locations for estimated PGA and the periodograms were plotted. Secondly, several indicators such as slope, elevation, curvature, and amplification values of rocks were used to generate SSA using predefined weights of layers. Thirdly, 10 indicators were implemented in a developed recurrent neural network (RNN) model to create an earthquake probability map (EPM). According to the results, recent to quaternary unconsolidated sedimentary rocks and alluvial deposits have great potential to amplify earthquake intensity and consequently lead to acute ground motion. High intensity was observed in coastal and central parts of the state. Complicated morphometric structures along with high intensity variation could be other parameters that influence deposits in the Mahanadi River and its delta with high potential. The RNN model was employed to create a probability map (EPM) for the state. Results show that the Mahanadi basin has dominant structural control on earthquakes that could be found in the western parts of the state. Major faults were pointed towards a direction of WNW–ESE, NE–SW, and NNW–SSE, which may lead to isoseismic patterns. Results also show that the western part is highly probable for events while the eastern coastal part is highly susceptible to seismic amplification. The RNN model achieved an accuracy of 0.94, precision (0.94), recall (0.97), F1 score (0.96), critical success index (CSI) (0.92), and a Fowlkes–Mallows index (FM) (0.95).

Economic policy measures for stimulating innovative development

2020 ◽  
pp. 163-176
Author(s):  
Ekaterina I. Shumskaia ◽  
Keyword(s):  
Private Sector ◽  
Banking Sector ◽  
Oil And Gas ◽  
Innovation System ◽  
Developed Countries ◽  
The State ◽  
Full Time ◽  
Innovative Development ◽  
Business Climate ◽  
Innovative Economy

The article presents the results of a study of the state role in the modern process of innovative development. It relies on academic literature and research to evaluate government measures, such as creating the necessary environment, subsidies and various tax incentives. The analysis of the indirect impact on the innovative development of the country is made through the education and training of scientists and researchers, creation of institutions, as well as supporting the structure for the commercialization of innovation. The synthesis of estimates of the effectiveness of government intervention in the innovative development of the economy is used. A comparative analysis revealed the features of the innovation system in Russia: in comparison with developed countries, unique conditions were created for business development through a comprehensive fiscal policy, however, private sector interest in innovation remains low. Therefore, priority directions in development remain measures to improve the business climate, increase the investment attractiveness of the country and promote competition. With a high degree of involvement of domestic universities in R&D, the relationship with the private sector remains poorly developed, which impedes the commercialization of projects under development, which also leads to the leakage of personnel from the country and reduces the competitiveness of domestic enterprises. The state should create the necessary conditions for the development of an innovative economy and actively work to eliminate these barriers, primarily by stimulating business activity and internal competition. In the future, it is necessary to develop sectors that already have serious competitive advantages, such as oil and gas, mining, agriculture, as well as the banking sector, transport, food processing and electricity, and also focus on development choices full-time promising areas with personnel potential.

scholarly journals EVALUATION AND SYSTEMATIZATION OF MECHANISMS FOR THE INVOLVEMENT OF BIG BUSINESS IN THE INNOVATIVE DEVELOPMENT OF RUSSIA

2017 ◽  
pp. 22-30
Author(s):  
Tigran Karenovich Babayan
Keyword(s):  
Innovation System ◽  
The State ◽  
Innovative Development ◽  
Government Programs ◽  
Innovation Development ◽  
Big Business ◽  
State Program ◽  
Innovative Economy ◽  
Service Data ◽  
Expert Community

The task of transition to innovative development requires the involvement of resources of all contributors to the national economy. The role of big business in this context is unique. The authorities and members of the expert community repeatedly mentioned the considerable potential of attracting resources of big business (which is not used to the full extent) for the innovative development. In recent years in Russia there have been developed and implemented a variety of mechanisms of involvement of big business in innovation development in order to create an effective innovation system. These mechanisms are "scattered" in different industries, at various levels of management, in various government programs and subprograms, in the Federal target programs. These documents include the Strategy of innovative development of Russia up to 2020, the State program "Economic development and innovative economy", the State program "Development of science and technology" by 2020 and others. The variety of mechanisms requires their classification and evaluation. There have been considered and systematized mechanisms of involvement of big business in innovation development (using technological platforms, creating business-incubators in the universities, making demand for the innovative product among important government businesses, etc.), analyzed special means of their use, revealed general advantages and drawbacks. Assessment of the quality of such mechanisms is being carried out. Tax service data show inadequate efficiency of tax mechanisms which could be important for big businesses. Issues of stimulating big business by tax encouragement mechanisms and involving it into innovative development require greater attention. There is the need to call for foreign experience of involving big business into innovative development.

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