Neural network modelling by rank configurations

被引：1

作者：

Bykov, Mykola M. ^{[1
]}

Kovtun, Viacheslav V. ^{[1
]}

Raimy, Abdourahmane ^{[2
]}

Gromaszek, Konrad ^{[3
]}

Smailova, Saule ^{[4
]}

机构：

[1] Vinnytsia Natl Tech Univ, 95 Khmelnytske Shose, UA-21021 Vinnytsia, Ukraine

[2] Univ Cheikh Anta Diop Dakar, UCAD, BP 5005, Dakar, Senegal

[3] Lublin Univ Technol, Ul Nadbystrzycka 38A, PL-20618 Lublin, Poland

[4] East Kazakhstan State Tech Univ, 69 Protozanov St, Ust Kamenogorsk 070004, Kazakhstan

来源：

PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2018 | 2018年 / 10808卷

关键词：

rank configurations; modelling; decision making; DRP-codes; neural network; Hopfield net; memcomputer; OPTICAL METHODS; COAL;

D O I：

10.1117/12.2501521

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The article presents the model of neural network in the form of rank configuration. The neurons are assumed to be the nodes of simplex, which presents a rank configuration, and the weights of the neural network are the edges of this simplex in the proposed model. Edges of simplex are marked by ranks of the weights. This approach allows us to evaluate the adequacy of rank configurations to make decisions on a system that already had proven effective in this application. Also such model gives an opportunity to present neurons as binary codes that preserve ranks of distances (DRP-codes) and to build digital model of memory core of memcomputer. The research of the model is carried out on the process of decimal digits recognition by Hopfield net.

引用

页数：5

共 50 条

[21] Market orientation and performance: modelling a neural network
Silva, Manuela
Moutinho, Luiz
Coelho, Arnaldo
Marques, Alzira
EUROPEAN JOURNAL OF MARKETING, 2009, 43 (3-4) : 421 - 437
[22] Modelling of spatial plasma by using neural network
Kim, S. Y.
Kim, B.
SURFACE ENGINEERING, 2009, 25 (06) : 417 - 422
[23] Neural network architecture for modelling FCC operations
McGreavy, C
Smaragdis, EI
1997 JUBILEE RESEARCH EVENT, VOLS 1 AND 2, 1997, : 773 - 776
[24] A hybrid machining simulator based on predictive machining theory and neural network modelling
Li, XP
Iynkaran, K
Nee, AYC
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 90 : 224 - 230
[25] Neural Network Modelling of Tehran Land Subsidence Measured by Persistent Scatterer Interferometry
Dehghani, Maryam
Zoej, Mohammad Javad Valadan
Entezam, Iman
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2013, (01): : 5 - 17
[26] Applying a Neural Network Approach to Monitoring Corporate Networks with Various Configurations
Yuskov, I. O.
Stroganova, E. P.
2020 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2020,
[27] Wireless Power Transfer System Modelling Based On Neural Network With Adaptive Filtering
ELsayed, Karim Gamal
Elessawy, Nesrine Amin
EIShenawy, Ahmed Khamis
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2015), 2015, : 305 - 310
[28] Comparison of NARX Neural Network and Classical Modelling Approaches
Gaya, Muhammad Sani
Wahab, Norhaliza Abdul
Sam, Y. M.
Samsudin, S. I.
Jamaludin, I. W.
MECHANICAL AND MATERIALS ENGINEERING, 2014, 554 : 360 - +
[29] Neural network modelling of asphalt adhesion determined by AFM
Tarefder, R. A.
Ahsan, S.
JOURNAL OF MICROSCOPY, 2014, 254 (01) : 31 - 41
[30] DNA detection system based on high-rank neural network
Bian, X
Liu, XZ
Wang, YM
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 2, 2002, : 699 - 702

← 1 2 3 4 5 →