Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search

Oliinyk, Аndrii; Skrupsky, Stepan; Subbotin, Sergey

doi:10.3103/s0146411615010071

Cited by 14 publications

(1 citation statement)

References 9 publications

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“…Shevchuk, V. P. Metrologiya intellektual'nyh izmeritel'nyh sistem [Text]: monografiya / V. P. Shevchuk, V. I. Kaplya [5][6][7], Big Data [8], Artificial Intelligence [9], Internet of Things [10]. For instance, the synergy of SDN and Neural Networks technologies can be expedient in the context of parallel computing systems' resources allocation [11,12].…”

Section: Introductionmentioning

confidence: 99%

Development of stratified approach to software defined networks simulation

Shkarupylo

Skrupsky

Oliinyk

et al. 2017

EEJET

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Запропоновано стратифікований підхід до імітаційного моделювання програмно-конфі-гурованих мереж. Запропоновано імітаційні моделі мережі, активних і пасивних компо-нентів -контролера, комутатора, хоста та комунікаційних каналів. Придатність підхо-ду до цільового використання підтверджено шляхом співставлення одержаних результа-тів імітаційного моделювання із результата-ми емуляції мережі у середовищі Mininet Ключові слова: програмно-конфігурована мережа, імітаційне моделювання, дискрет-но-подійна специфікація системи, великі дані Предложен стратифицированный подход к имитационному моделированию программно-конфигурируемых сетей. Предложены ими-тационные модели сети, активных и пассив-ных компонентов -контроллера, коммута-тора, хоста и коммуникационных каналов. Пригодность подхода к целевому использо-ванию подтверждена путем сопоставления полученных результатов имитационного мо-делирования с результатами эмулирования сети в среде Mininet Ключевые слова: программно-конфигури-руемая сеть, имитационное моделирование, дискретно-событийная спецификация систе-мы, большие данные UDC 004.75 : 004.94

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Section: Introductionmentioning

confidence: 99%

Development of stratified approach to software defined networks simulation

Shkarupylo

Skrupsky

Oliinyk

et al. 2017

EEJET

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Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Oliinyk

Fedorchenko

Stepanenko

et al. 2020

Data-Centric Business and Applications

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An evolutionary method for solving the traveling salesman problem in the field of pharmacy business by optimizing the work of the drug delivery device is proposed in this paper. Modifications of three methods of initialization of the initial population of the genetic algorithm are developed. The software implementation is proposed to solve the problem of a sales-man in the pharmacy business by optimizing the process of drug delivery, using modified evolutionary methods. Unlike existing methods, the modified version of the evolution method allows to choose the original method of population initialization when solving the problem of traveling salesman, which, in turn, allows to generate more adapted chromosomes (chromosomes with better values of fitness functionality) at the stage of initialization and thereby improve the results algorithm. It is also possible to graphically monitor the process of solving the seller's problem, get the result in text and graphic forms. The principles of objectoriented programming, namely the use of classes, the principle of data encapsulation and inheritance, were used when writing the program. UML diagrams of classes, sequences, activities, states and cooperation were used to visualize the structure and functional relationships of the modules of the developed software.

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Tender Participants Selection Based on Artificial Neural Network Model for Alternatives Classification

Колпакова

Льовкін

2016

Recent Advances in Systems, Control and Information Technology

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Experimental investigation with analyzing the training method complexity of neuro-fuzzy networks based on parallel random search

Cited by 14 publications

References 9 publications

Development of stratified approach to software defined networks simulation

Development of stratified approach to software defined networks simulation

Implementation of Evolutionary Methods of Solving the Travelling Salesman Problem in a Robotic Warehouse

Tender Participants Selection Based on Artificial Neural Network Model for Alternatives Classification

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