In the presented article analytical methods of the solution of a task synthesis in a control system are stated. The author considers a neural network of Kokhonen which belongs to the class of networks of direct distribution. It has the only hidden layer of neurons presented in the form of a one-dimensional or two-dimensional lattice. By the author it is presented that the mechanism of cooperation realizes the principle according to which the most excited neuron strengthens (through synoptic weight) not only itself, but also spatially neurons, close to it.Article purpose - analytical methods of the solution of a problem of synthesis in a control system
The paper focuses on the problem of control system synthesis and a numerical method of the network o...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...
The work covers the properties of the automatic control systems with neuro-network regulators. The d...
The work is devoted to application of the network operator method for solving the control system syn...
The work is devoted to application of the network operator method for solving the control system syn...
The paper develops important fundamental steps in applying artficial neural networks in the design o...
The modern stage of development of science and technology is characterized by a rapid increase in th...
Currently, the problem of designing automatic control systems of dynamically variable objects is cha...
In the article there has been presented a structure of a control system with a neural network contro...
Subject of investigation: artificial neuron networks, chemical-technological processes and chemical-...
The paper focuses on the problem of control system synthesis and a numerical method of the network o...
The problems with artificial neuron systems, or, more precisely, with self-organising neuron systems...
The work covers the neuronic networks (synergetical model, its abilities to structural identificatio...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
The problem of synthesis of optimal control system is considered. It is proved that generally it is ...
The paper focuses on the problem of control system synthesis and a numerical method of the network o...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...
The work covers the properties of the automatic control systems with neuro-network regulators. The d...
The work is devoted to application of the network operator method for solving the control system syn...
The work is devoted to application of the network operator method for solving the control system syn...
The paper develops important fundamental steps in applying artficial neural networks in the design o...
The modern stage of development of science and technology is characterized by a rapid increase in th...
Currently, the problem of designing automatic control systems of dynamically variable objects is cha...
In the article there has been presented a structure of a control system with a neural network contro...
Subject of investigation: artificial neuron networks, chemical-technological processes and chemical-...
The paper focuses on the problem of control system synthesis and a numerical method of the network o...
The problems with artificial neuron systems, or, more precisely, with self-organising neuron systems...
The work covers the neuronic networks (synergetical model, its abilities to structural identificatio...
Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous impleme...
The problem of synthesis of optimal control system is considered. It is proved that generally it is ...
The paper focuses on the problem of control system synthesis and a numerical method of the network o...
This paper is about synthesis quasi-optimal control system in uncertain conditions with neural netwo...
The work covers the properties of the automatic control systems with neuro-network regulators. The d...