The article proposes the use of three directions of development at once to solve the problem of dividing objects into classes. The first direction uses the formation of a computationally simple multi-criteria method for smoothing data in windows of complex adaptive forms, adapting the method of dividing objects into background/structure, and simplifying images. The approaches being developed are intended for implementation on low-computing devices with the ability to parallelize processes. The second direction being worked on is the formation of a model of the structure of a neuron organized on the basis of the use of memristor structures. The paper presents an approach to the formation of such structures, provides the characteristics of such devices, and describes methods for combining analog and digital parts to implement memory or control systems. The final direction discussed in the article is the formation of a neural network for the classification of simple objects based on a model of new neurons and data preprocessing. To test the approach proposed in the work, studies were carried out on a set of test data obtained by a sensor (simple sensor) system. The generated data array for evaluating efficiency is limited by a time window and has real noise (errors). The work provides assessments of effectiveness, recommendations for the selection of parameters and presents requirements for the type and form of the analyzed data.
The article proposes to control of algorithm for the process of forming a coating with an increased content of an oxide layer resulting from the application of plasma formation of surface films. An implementation of an algorithm for adaptive determination of the contours of plasma discharge boundaries during the formation of films of memristor structures is proposed. The construction of the algorithm is based on the use of a multicriteria data processing method in the function of the boundary detector. An implementation of an adaptive change in the contact mask of the plasma discharge with the surface is proposed. Analysis of the contact size and density influences the shape and rate of formation of the oxide layer. The appearance of such a coating has the ability, when exposed to current, to form a complex curve of a function of a given shape. With the subsequent application of voltage, it can be used as an activation function. Recommendations on control and changes influences are presented. A hardware model implementation of an artificial neuron based on blocks of digital elements is presented. Examples of solving the problem of predicting the movement of an actuating element in the control of robotic complexes based on the formed neurons are given.
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