The paper takes into consideration risk systems that can use not only in nuclear reactions but other plants with frequent risks for people's life, such as mining, and other. Such facilities apply information systems in which take place exchange text messages through free space. The main problem of information radio reception is an increasing number of emitting means that equal the increase of noise level receiving set. As an additional means of processing distorted textual information, it is proposed to use a neural network, which must be pre-configured. For analysis, the back propagation neural network was selected. The adjustment is carried out by an algorithm assuming a double differentiation of the error function, which ensures a high network convergence rate. Learning is stopped according to the total criterion for the deviation of the output signal from the reference. The paper formulates the conditions of quadratic convergence of the back propagation network with one new tuning procedure, and also offers examples of the construction of a neural network for recognizing a text message in various reception conditions. The fed to the neural network is sequence of the letters of English alphabet. A feature of the structure of the neural network that provides correct recognition is the use of completely nonlinear neurons. Comparison of options for the structure of the neural network when recognizing text phrases is carried out according to indicators of the probability of recognition, error, and training time. The established properties of the neural network are useful in the design of efficient information system.
The object of research is the hardware-software complex of learning Braille. The research is aimed at the analysis of the use of the system of automatic change of modes of the hardware-software complex depending on the results of the user’s tasks.
As part of the development of the project for the implementation of hardware and software for the training of the visually impaired in Braille, there is a need to analyze the operation of the updated control system for the order of output of letters. The solution was a software bridge that connects devices to a remote database server via smartphones, where learning results are stored. To solve this problem, the algorithm for changing the modes of letter output was modified, the module of connection of the hardware and software complex with the phone was implemented, the file structure for information transfer to the database was developed.
After the introduction of updates in the hardware and software complexes of users, an analysis of the training was conducted. Statistics were collected according to the following parameters: selected language, type of game, correct and user answers, mode of output of letters, date-time of answer and operation of changing of the mode of output of letters. The analysis used data on the first and last states of the mode of output of letters for one day without reference to games and languages. The research was conducted over 30 calendar days for 100 users, but the data were reduced to 15 days, as some users were not study every day, and the day of study was taken.
The research showed a tendency to change learning to groups of letters of the highest complexity. Less than a third of users stayed at the first level, which provides for the next update of the software to collect data on the age of the user, because children under 5 years do not learn the letters of the third group of complexity.
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