This article provides the comparison of libraries neural networks. Based on this analysis was determined to develop a neural network for classification of spectra based on Encog library, because it implemented many components and gives the best result with a small number of items for training. Showed the architecture of neural networks for data classification of spectral analysis.
The contents and function of the account plan in the organization of accounting, principles of systematization of classification groups of accounts in it are disclosed. The historical origins of the plan of accounts in accounting science and its evolution are presented. The key factors of influence on the principles and basic principles of constructing an account plan at different historical stages of accounting science are analyzed. The reasonableness of the scientific classification of accounts and disadvantages when forming accounts in the historical past has been analyzed.
Запропоновано варіант класифікації засобів взаємодії між клієнтською і серверною програмами.
This general description of the decision support system for the voter as a We site We describe the principles of the DSS to the voter through the use of classification approach. Shows the process of development control and rights management for users of the Web site.
This paper analyzes the problems that occur with the current classification of state geodetic networks in the modern world.
Purpose. Cadastral land zoning is one of the important components of creating a cadastral system in Ukraine, which helps to create an attractive investment climate and to define the priority areas of sustainable economic development of the territories. To a large extent, in our view, these issues are not fully resolved for the lands outside the settlements.
The purpose of research. The main purpose of research is to analyze the relief of various surfaces. For example, to select on the surface the individual sections of a certain form, such as slopes that are oriented in a given direction. The main aim of the article is the use of artificial neural networks (ANN). To solve the problem of classification a binary classifier was created and its work and its accuracy was studied. Method. The research was carried out on the certain section of the earth's surface. The digital model, presented by greed file, was created.