On the basis of many national and international research a neural network model of the trajectory of and techno-economic development, which allows to calculate the level and rate of fuel and energy is developed and the method of evaluating the effectiveness of technological innovation projects on a range of qualitative and quantitative parameters based on the construction of the neuro-fuzzy solution tree is proposed. The developed model, in addition to the promising project choosing, explains the decision making process in an understandable way, in the structure of the neuro-diagnostic decision rules “If ... then.” Thus, this technique allows to determine the significance of the indicators (trends) of the formation of new technological cycl...
The article is devoted to the issue of creating a mathematical model of the problem of making manage...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
In this paper the development of neural network based fuzzy inference system for electricity consump...
On the basis of many national and international research a neural network model of the trajectory of...
AbstractOn the basis of many national and international research a neural network model of the traje...
AbstractIn the paper, we focus on the possibilities of neural network approach to assess the potenti...
The article is devoted to description of structure and operation algorithms of a multilevel intellec...
The article considers the problem of measuring the level and rate of technical and economic developm...
Methodological bases for identification, data processing for forecasting technological time series b...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Decision making support systems (DSS) are actively used in all spheres of human life. The system of ...
Decision making support systems (DSS) are actively used in all spheres of human life. The system of ...
The article is devoted to research and development of fuzzy cognitive model of mutual influence and ...
The paper describes practical results gained during synthesis of the classification model for estima...
The article is devoted to the issue of creating a mathematical model of the problem of making manage...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
In this paper the development of neural network based fuzzy inference system for electricity consump...
On the basis of many national and international research a neural network model of the trajectory of...
AbstractOn the basis of many national and international research a neural network model of the traje...
AbstractIn the paper, we focus on the possibilities of neural network approach to assess the potenti...
The article is devoted to description of structure and operation algorithms of a multilevel intellec...
The article considers the problem of measuring the level and rate of technical and economic developm...
Methodological bases for identification, data processing for forecasting technological time series b...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Artificial intelligence has become the backbone of modern decision support systems. This is why a co...
Decision making support systems (DSS) are actively used in all spheres of human life. The system of ...
Decision making support systems (DSS) are actively used in all spheres of human life. The system of ...
The article is devoted to research and development of fuzzy cognitive model of mutual influence and ...
The paper describes practical results gained during synthesis of the classification model for estima...
The article is devoted to the issue of creating a mathematical model of the problem of making manage...
Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computa...
In this paper the development of neural network based fuzzy inference system for electricity consump...