scholarly journals Intelligent system of automatic control over the technological process of the natural gas preparation on the basis of neural networks

2018 ◽  
pp. 11-17
Author(s):  
V. S. Boryn ◽  
I. M. Sahai
Keyword(s):  
Neural Networks ◽  
Natural Gas ◽  
Technological Process ◽  
Simulation Modeling ◽  
Intelligent System ◽  
Fuzzy Model ◽  
Preparation Process ◽  
Multi Stage ◽  
The Mathematical Model ◽  
The Given

The mathematical model of the technological process of the natural gas preparation is developed. The structure of the fuzzy model is developed, which corresponds to the complex multi-stage technological processes. For the analysis of a given stage, a model based on artificial neural networks is used. The model is developed based on the results of a survey of production engineers and describes the end-to-end technology of the natural gas preparation process. Considerable attention is paid to simulation modeling, namely the experimental determination of dynamic characteristics on the given channels has been carried out and simulation modeling of the system using neural networks has been conducted. According to its results, it has been established that the transient characteristics of the channels correspond to the physical bases of the natural gas preparation process. A comparative analysis of transient processes has been carried out and it has been determined that in the cascade control system the quality indicators are better.

Hybrid Legal Intelligent System Using Fuzzy and Neural Networks

2017 ◽  
Vol 5 (11) ◽  
pp. 222-231
Author(s):  
S. Sridevi ◽  
◽  
◽  
P. Venkata Subba Reddy
Keyword(s):  
Neural Networks ◽  
Intelligent System

scholarly journals Robust Template Decomposition without Weight Restriction for Cellular Neural Networks Implementing Arbitrary Boolean Functions Using Support Vector Classifiers

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Yih-Lon Lin ◽  
Jer-Guang Hsieh ◽  
Jyh-Horng Jeng
Keyword(s):  
Neural Networks ◽  
Boolean Function ◽  
Past Research ◽  
Cellular Neural Network ◽  
Decomposition Methods ◽  
Cellular Neural Networks ◽  
Support Vector ◽  
Decomposition Algorithms ◽  
Weight Restriction ◽  
The Given

If the given Boolean function is linearly separable, a robust uncoupled cellular neural network can be designed as a maximal margin classifier. On the other hand, if the given Boolean function is linearly separable but has a small geometric margin or it is not linearly separable, a popular approach is to find a sequence of robust uncoupled cellular neural networks implementing the given Boolean function. In the past research works using this approach, the control template parameters and thresholds are restricted to assume only a given finite set of integers, and this is certainly unnecessary for the template design. In this study, we try to remove this restriction. Minterm- and maxterm-based decomposition algorithms utilizing the soft margin and maximal margin support vector classifiers are proposed to design a sequence of robust templates implementing an arbitrary Boolean function. Several illustrative examples are simulated to demonstrate the efficiency of the proposed method by comparing our results with those produced by other decomposition methods with restricted weights.

Increasing the mobility of a high-speed tracked vehicle based on a controlled skid algorithm

2020 ◽  
pp. 29-33
Author(s):  
S. V. Kondakov ◽  
O.O. Pavlovskaya ◽  
I.D. Ivanov ◽  
A.R. Ishbulatov
Keyword(s):  
Mathematical Model ◽  
Dynamic Stability ◽  
Simulation Modeling ◽  
Automatic System ◽  
High Speed ◽  
Control Algorithm ◽  
Loss Of Stability ◽  
Tracked Vehicle ◽  
Hydrostatic Transmission ◽  
The Mathematical Model

A method for controlling the curvilinear movement of a high-speed tracked vehicle in a skid without loss of stability is proposed. The mathematical model of the vehicle is refined. With the help of simulation modeling, a control algorithm is worked out when driving in a skid. The effectiveness of vehicle steering at high speed outside the skid is shown. Keywords: controlled skid, dynamic stability, steering pole displacement, hydrostatic transmission, automatic system, fuel supply. [email protected]

MATHEMATICAL SUPPORT FOR INDUCTION SOLDERING CONTROL BASED ON INTELLIGENT METHODS OF INFORMATION PROCESSING

2021 ◽  
pp. 81-87
Author(s):  
А.В. Милов
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Information Processing ◽  
Mathematical Models ◽  
Technological Process ◽  
Artificial Neural ◽  
Intelligent Methods

В статье представлены математические модели на основе искусственных нейронных сетей, используемые для управления индукционной пайкой. Обучение искусственных нейронных сетей производилось с использованием многокритериального генетического алгоритма FFGA. This article presents mathematical models based on artificial neural networks used to control induction soldering. The artificial neural networks were trained using the FFGA multicriteria genetic algorithm. The developed models allow to control induction soldering under conditions of incomplete or unreliable information, as well as under conditions of complete absence of information about the technological process.

Multi-stage co-planning framework for electricity and natural gas under high renewable energy penetration

2018 ◽  
Vol 12 (19) ◽  
pp. 4284-4291 ◽  
Author(s):  
Juliana Barbosa Nunes ◽  
Nadali Mahmoudi ◽  
Tapan K. Saha ◽  
Debabrata Chattopadhyay
Keyword(s):  
Renewable Energy ◽  
Natural Gas ◽  
Multi Stage ◽  
Planning Framework

scholarly journals Analysis of the criteria of efficiency of work of separators for the field of hydrocarbon raw

2019 ◽  
pp. 114-119
Author(s):  
Valeriy V. Piven ◽  
Vladislav S. Shchelkonogov
Keyword(s):  
Technological Process ◽  
Raw Materials ◽  
Comprehensive Assessment ◽  
Technological Scheme ◽  
Qualitative Composition ◽  
Separation Processes ◽  
Process Flow ◽  
Multi Stage ◽  
Flow Diagrams

Assessment of the quality of separation of hydrocarbon raw during its field preparation is necessary to determine the efficiency of the entire technological process of preparation. The absence of complex criteria for assessing the quality of separation for multi-stage processes does not allow one to obtain unambiguous solutions in justifying the process flow diagrams and equipment for separation. We have analyzed the typical technological scheme of separation of hydrocarbon raw materials and existing criteria for separation processes. It is proposed to use the criterion for a comprehensive assessment of the separation processes of hydrocarbon raw materials, allowing calculating the efficiency of the process, taking into account the possible production of intermediate fractions and their qualitative composition

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