The paper considers the possibility of using waste from the forest industry, construction waste and ash and slag waste from boiler heating as a basis for the creation of biofertilizers and components that improve the structure of heavy soils. The analysis of experience on the impact of crushed bricks, coniferous and leaf litter with the inclusion of wood components, and ash and slag waste of boiler heating on the growth functions of red clover and watercress over various time intervals is presented. The possibility of using the presented waste in the process of self-infestation of territories is considered. A number of experiments have been conducted to identify the phytotoxic effect, as well as the reaction of general inhibition or stimulation of growth indicators of higher plants when used as a substrate in pure form, or a mixture with natural soil, wood components, samples of ash and slag waste of various shelf life, brick fighting.

Keywords: forest industry waste, construction waste, broken bricks, ash and slag waste, self-fouling, phytotoxicity, soil structure, morphological changes of plants

The paper considers the possibility of using forest industry waste as a basis for the creation of biofertilizers. Of the main types of waste, sawdust, wood chips and bark are the most discussed. Taking into account the minimal change in composition, they can be used for the production of biofuels, such as pellets or briquettes. In addition, they can be used for the production of compost and fertilizers. The review of patents with a brief description of the method of processing and use of wood waste in the field of biotechnology is given The most promising for today can be considered the use of these wastes for the production of biofertilizers (when enriched with microbiological crops, as well as in the mixed part with animal husbandry and crop production waste), as well as the possibility of recultivation of disturbed areas during logging.

Keywords: sawdust, compost, biofertilizers, forest industry waste, patent search, woodworking, microorganisms

The article discusses the problems that arise in pattern recognition related to clustering and data abstraction. Detailed typical data clustering options. The problem of data transformation by vector quantization with the least error is given. A competitive training system for an artificial neural network based on a growing neural gas is described. Using the method of growing neural gas, an improved algorithm of a self-learning artificial neural network of competitive training is proposed. The criteria for completing clustering using the adaptation criterion as a stop criterion are defined. Examples of data clustering by an artificial neural network using the method of growing neural gas are given.

Keywords: clustering, artificial neural network, computer modeling, pattern recognition, self-learning intelligent systems

For hexagonal structures RMnO3, where R - rare earth ions are Er, Tm, Yb, Lu, and Y entered anisotropic relative tolerance factor tx / tz. A correlation tx / tz with changes spontaneous polarization (strain) on the temperature and pressure, with a lattice parameter changes from the radii R ion concentration and changes in the structural parameters of R1-xAxMnO3 (A - Ca, La) solid solutions. It is shown that an increase in the Neel temperature TN corresponds to a decrease in tx / tz, with an increase tx / tz external pressure - increased temperature phase transitions in structures RMnO3 and concentration phase transitions Y1-xAxMnO3 (A - Ca, La) correspond to abrupt changes in tx / tz.

Keywords: tolerance factor, hexagonal ABO3 structure, chemical composition, temperature, pressure, solid solution