The problem of historical cities formation is very relevant in recent years. The second half of the XIX century is a period of reforms in the Russian history, when many values were rethought. This historical period was a period of industrialization and urbanization, when a provincial city got its new development and prosperity. This paper is devoted to the historical development and transformation of the Samara province city in the second half of the XIX century. Every city of the Samara province passed a unique way of development during the study period and contributed to the development of the originality region. Both sides characterize the originality of the cities: economic and social. Economic uniqueness of the Samara province cities in the second half of the century was reflected in such indicators as: industrial production and development of trade relations (in the province there was a variety of places and forms of trade: fair, railway station and harbor). A social component of the originality of the region county town was made of the population characteristics: the number, class hierarchy, the mentality. Each element formed the uniqueness of the county towns as well as created a common image of industrial Russia.

The following paper considers the health culture of the Central Volga area population in the 19th century and its influence on the region economy. The authors compare necessary medical assistance at the beginning and at the end of the century and using various sources including the archival ones come to the conclusion that the state didnt pay much attention to the organization of health care in the region economy at the beginning of the 19th century: lack of health culture which could include the necessary number of medical institutions, lack of professionally trained medical staff, rules and recommendations about a healthy lifestyle. However by the end of the century the situation had undergone positive changes - there were medical institutions with beds and rooms available enough for patients, there were charity societies with medical care for people in need; the state spent money to ensure personnel functioning and hospital equipment, as well as injections that were free for the population. At the end of the 19th century the health culture of the population became an integral part of Central Volga area economy and the country in general. It increased the standard of life as well as its quality.

We identified a set of methods for solving risk assessment problems by forecasting an incident of complex object security based on incident monitoring. The solving problem approach includes the following steps: building and training a classification model using the C4.5 algorithm, a decision tree creation, risk assessment system development, and incident prediction. The last system is a predicative self-configuring neural system that includes a SCNN (self-configuring neural network), an RNN (recurrent neural network), and a predicative model that allows for determining the risk and forecasting the probability of an incident for an object. We proposed and developed: a mathematical model of a neural system; a SCNN architecture, where, for the first time, the fundamental problem of teaching a perceptron SCNN was solved without a teacher by adapting thresholds of activation functions of RNN neurons and a special learning algorithm; and a predicative model that includes a fuzzy output system with a membership function of current incidents of the considered object, which belongs to three fuzzy sets, namely “low risk”, “medium risk”, and “high risk”. For the first time, we gave the definition of the base class of an object’s prediction and SCNN, and the fundamental problem of teaching a perceptron SCNN was solved without a teacher. We propose an approach to neural system implementation for multiple incidents of complex object security. The results of experimental studies of the forecasting error at the level of 2.41% were obtained.