name
Chastikov Arkadiy Petrovich
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Technological University
Research interests
Web site url
—
—
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 6
Сформировать список работ, опубликованных в Научном журнале КубГАУ
-
ANALYSIS OF PATTERN RECOGNITION WITH NEURAL NETWORK METHOD
Description
The article deals with a set of basic patterns of technical analysis and reviews their recognition techniques using neural network methods. The existing approaches to the problem have been set. The reasons of relevance of the described technique have been shown
-
HYBRID NEURO-EXPERT SYSTEM FOR IDENTIFICATION OF SIGNIFICANT EVENTS TO SCHEDULE TIME SERIES
Description
This article discloses the use of hybrid neural / expertnetwork systems to the problem of finding the significant events of these studies market behavior. The neural network is trained by back propagation, and is used to highlight trends over time. The expert system is used to determine the degree of significance of data
-
NEURAL NETWORK ALGORITHMS OF PATTERN RECOGNITION IN THE STOCK EXCHANGE RATE
Description
Recent research shows that patterns of stock market indices may contain useful information for the prediction of the stock market price. Currently, there are two basic pattern recognition algorithm: Match the rule and pattern matching. However, both algorithms require the participation of experts in the subject area. To solve these problems, the proposed approach is the recognition of patterns stock exchange indexes based on artificial neural networks. The experiment shows that the neural network is able to effectively study the characteristics of patterns and recognize them with high accuracy
-
DEVELOPING OF DEVICE FOR EXPERT DIAGNOSTIC SYSTEMS BASED ON FUZZY LOGIC OF NEURAL NETWORKS
Description
The article is an example of a device that based on fuzzy logic, capable determine the health of the technological system on indirect physical parameters
-
PATTERN RECOGNITION IN THE CHART CONTROL BASED ON NEURAL NETWORKS WITH REINFORCEMENTS
Description
This article discloses the use of neural networks to recognize patterns in control charts. To recognize unnatural situation under control is possible by analyzing the chart pattern. Neural networks with reinforcements are the third generation of neural networks. In this study they are available for recognition in the management chart patterns. The article also discusses options for improvement of the learning algorithm in the form of additional rules for the synoptic pauses, time constants and switching threshold neurons
-
REGRESSION ANALYSIS TO PREDICT THE AMOUNT OF WORK WHEN REPAIRING ROADS
Description
The article is an example of planning funds for the maintenance and repair of roads in the asphalt performance given their excessive wear during winter
pdf 268.865kb
doc 268.865kb