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1. Full Text Extended Wang neural network for online solving a set of linear equations
by Li, Zhan and Yin, Ziguang
Electronics letters, ISSN 0013-5194, 6/2016, Volume 52, Issue 12, pp. 1001 - 1003
Bioinspired technology | extended Wang neural network | EWNN | circuit implementation | mathematics computing | online solving | nonlinear activation | nonlinearity phenomena | general nonlinear model | neural nets | linear equations | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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2. Full Text 3D crystal structure identification using fuzzy neural networks
by Kirsh, D V and Soldatova, O P and Kupriyanov, A V and Lyozin, I A and Lyozina, I V
Optical memory & neural networks, ISSN 1060-992X, 10/2017, Volume 26, Issue 4, pp. 249 - 256
Takagi-Sugeno-Kang neural network | Computer Science | Information Storage and Retrieval | fuzzy neural networks | unit cell | crystal structure identification | Wang-Mendel neural network | crystal lattice | lattice system | Complexity | Unit cell | Crystal structure identification | Lattice system | Crystal lattice | Fuzzy neural networks | Wang-mendel neural network | Takagi-sugeno-kang neural network | Usage | Image processing | Structure | Neural networks | Analysis | Crystals
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3. Full Text Annealing stochastic approximation Monte Carlo algorithm for neural network training
by Liang, Faming
Machine learning, ISSN 0885-6125, 10/2007, Volume 68, Issue 3, pp. 201 - 233
Back-propagation | Simulation and Modeling | Computing Methodologies | Stochastic approximation | Multiple layer perceptron | Wang–Landau algorithm | Automation and Robotics | Markov chain Monte Carlo | Computer Science | Simulated annealing | Artificial Intelligence (incl. Robotics) | Convergence rate | Language Translation and Linguistics | Wang-Landau algorithm | Computer Science, Artificial Intelligence | Technology | Science & Technology | Applied sciences | Connectionism. Neural networks | Artificial intelligence | Exact sciences and technology | Computer science; control theory; systems | Training | Monte Carlo method | Algorithms | Neural networks | Studies | Optimization algorithms
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4. Full Text The simulation of spin glass model of neural networks by the Wang–Landau algorithm
by Yaşar, F and Dilaver, M
Computer physics communications, ISSN 0010-4655, 2007, Volume 177, Issue 8, pp. 625 - 630
Spin glasses | Neural network | Hopfield model | Wang–Landau algorithm | Wang-Landau algorithm | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Physics, Mathematical | Computer Science | Physics | Science & Technology | Models | Algorithms | Knowledge-based systems | Neural networks | Analysis
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5. Full Text Jamming in hierarchical networks
by Cheng, Xiang and Boettcher, Stefan
Computer physics communications, ISSN 0010-4655, 11/2015, Volume 196, pp. 19 - 26
Wang–Landau sampling | Hierarchical network | Jamming transition | Monte Carlo simulation | Wang-Landau sampling | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Physics, Mathematical | Computer Science | Physics | Science & Technology | Analysis | Algorithms | Glass transition | Occupation | Networks | Computer simulation | Simulated annealing | Mathematical models | Recursive | Jams
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6. Full Text mind maps
Electronics letters, ISSN 0013-5194, 6/2016, Volume 52, Issue 12, pp. 990 - 990
Features | extended Wang neural network | EWNN | WNN | bioinspired intelligent models | Wang neural networks | human nervous systems | neural network | neural nets | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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7. Full Text 一种深度级联网络结构的单帧超分辨重建算法
by 王飞 and 王伟 and 邱智亮
光电工程, ISSN 1003-501X, 2018, Volume 45, Issue 7, pp. 37 - 46
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8. Full Text Determination of mixture properties via a combined Expanded Wang-Landau simulations-Machine Learning approach
by Desgranges, Caroline and Delhommelle, Jerome
Chemical physics letters, ISSN 0009-2614, 01/2019, Volume 715, pp. 1 - 6
Phase equilibria | Wang-Landau sampling | Mixtures | Neural networks | Physical Sciences | Chemistry | Physics, Atomic, Molecular & Chemical | Chemistry, Physical | Physics | Science & Technology
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9. Full Text Prediction of the boiling and critical points of polycyclic aromatic hydrocarbons via Wang-Landau simulations and machine learning
by Groven, Steven D and Desgranges, C and Delhommelle, J
Fluid phase equilibria, ISSN 0378-3812, 04/2019, Volume 484, pp. 225 - 231
Vapor-liquid equilibria | Critical point | Wang-landau sampling | Machine learning | Boiling point | Thermodynamics | Engineering | Physical Sciences | Engineering, Chemical | Chemistry | Technology | Chemistry, Physical | Science & Technology
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10. Full Text Application of fuzzy neural networks for defining crystal lattice types in nanoscale images
by Soldatova, O.P and Lyozin, I.A and Lyozina, I.V and Kupriyanov, A.V and Kirsh, D.V and Image Processing Systems Institute, Russian Academy of Sciences and Samara State Aerospace University
Computer Optics, ISSN 0134-2452, 11/2015, Volume 39, Issue 5, pp. 787 - 794
Takagi-sugeno-kung network | Crystal lattice | Nanoscale images | Wang-mendel network | Nanostructures | Pattern recognition | Neural fuzzy networks
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11. Full Text Dehazing with Offset Correction and a Weighted Residual Map
by Su, Chang and Wang, Wensheng and Zhang, Xingxiang and Jin, Longxu
Electronics (Basel), ISSN 2079-9292, 09/2020, Volume 9, Issue 9, p. 1419
Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Wang, Wensheng | Algorithms | Haze | Image restoration | Image quality | Neural networks | Light | Expected values | Regularization methods | Visibility | Image transmission | Image degradation | Image enhancement | Image contrast | image filtering | image enhancement | residual map | image texture
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12. Full Text Fuzzy Predictor With Additive Learning for Very Short-Term PV Power Generation
by Monfared, Mohammad and Fazeli, Meghdad and Lewis, Richard and Searle, Justin
IEEE access, ISSN 2169-3536, 2019, Volume 7, pp. 91183 - 91192
Training | Wang-Mendel | Biological system modeling | Weather forecasting | photovoltaic (PV) | Artificial neural networks | Predictive models | Prediction algorithms | Fuzzy theory | Power generation | power generation forecasting | Computer Science, Information Systems | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Telecommunications | Science & Technology | Weather | Learning | Fuzzy logic | Electric power generation | Algorithms | Photovoltaic cells | Feature extraction | Smart grid
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13. Adaptive tracking control based on online LS-SVM identifier
by Wang, Zhenyan and Zhang, Zhen and Mao, Jianqin
International Journal of Fuzzy Systems, ISSN 1562-2479, 06/2012, Volume 14, Issue 2, pp. 330 - 336
Online LS-SVM | Nonlinear system | Adaptive neural network control | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Nonlinear dynamics | Computer simulation | Neural networks | Control systems | On-line systems | Learning theory | Dynamical systems | Adaptive control systems
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14. Full Text On Mapping Graphs of Parallel Programs onto Graphs of Distributed Computer Systems by Recurrent Neural Networks
by Tarkov, Mikhail S
2011, Lecture Notes in Computer Science, ISBN 9783642231773, Volume 6873
distributed computer systems | neuron | Mapping | graphs of parallel programs | Hopfield network | Wang recurrent network
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15. Full Text Exploring Natural Hazards
: A Case Study Approach
by Darius Bartlett and Ramesh Singh
04/2018, ISBN 9780367571924, 376
Flood; Monsoon; Urbanization; Coastal watersheds | Rita Kovordanyi | Tropical cyclone, track prediction | Miguel Mendes | HOMELANDSECURITYnetBASE | Robert Twardosz | Chandan Roy | Natalia Perevalova | Anteneh Belayneh | Lindsey M. Harriman | T.I. Eldho | ENVIROnetBASE | Cyclones, typhoons, hurricanes | Parthasarathi Mukhopadhyay | Colin Price | Atta-ur Rahman | Earth Sciences | STMnetBASE | SCI-TECHnetBASE | Amal Kar | Claudia Kuenzer | Zbigniew W. Kundzewicz | Sekhar Chandra Dutta | Joaquín Ramírez | P.E. Zope | Paul Hirst | Franklin M. Orr | GIS, Remote Sensing & Cartography | Drought, forecasting, artificial neural networks | Jan Adamowski | Xidong Wang | Agnieszka Rajwa-Kuligiewicz | S. Taku Ide | Joanna Pociask-Karteczka | Montserrat Ferrer-Julià | ENVIRONMENTALSCIENCEnetBASE | Anand T. Kulkarni
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16. Full Text On the application of the critical minimum energy subspace method to disordered systems
by Hernández, Laura and Ceva, Horacio
Physica A, ISSN 0378-4371, 2009, Volume 388, Issue 12, pp. 2389 - 2393
Random field Ising model | Critical minimum energy subspace | Wang–Landau method | Phase transition | Wang-Landau method | Physics, Multidisciplinary | Physical Sciences | Physics | Science & Technology
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17. Full Text Structural Health Monitoring Technologies and Next-Generation Smart Composite Structures
by Jayantha Ananda Epaarachchi and Gayan Chanaka Kahandawa
09/2016, Composite Materials, ISBN 9780367869380, 561
John Canning | Composites | Jinsong Leng | CivilEngineeringnetBASE | ElectricalEngineeringnetBASE | Ayad Arab Ghaidan Kakei | Jayavardhana Gubbi | Dongyue Gao | Composite Structures | Embedded Sensors | ENGnetBASE | Rahim Gorgin | Structural Engineering | Kazuo Hotate | Nozomi Saito | Masato Kishi | Jinling Zhao | Gayan Chanaka Kahandawa | Marimuthu Palaniswami | Composite Materials | Filippo Ubertini | Jinhao Qiu | STMnetBASE | SCI-TECHnetBASE | Neural Networks | Instrumentation, Measurement & Testing | MATERIALSnetBASE | Alan Lau | Priyan Mendis | M. Mainul Islam | Hongyuan Wang | Advanced Composites | Kiyoshi Enomoto | Chao Zhang | Next Generation Composites | Hongli Ji | Gang-Ding Peng | Aravinda S. Rao | Structural health monitoring | Composite construction | Smart materials in architecture | Smart materials
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18. Full Text Research of Classification Tasks Solving Using Neural Fuzzy Production Based Network Models of Mamdani–Zadeh
by Olga P. Soldatova and Iliya A. Lyozin
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, ISSN 1991-8615, 06/2014, Volume 2(35), pp. 136 - 148
classification problem | neural fuzzy production based network | model of Mamdani-Zadeh | network of Wang-Mendel
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19. Full Text The essence of neuronal activity from the consistency of two different neuron models
by Wang, Rubin and Wang, Ziyin and Zhu, Zhenyu
Nonlinear dynamics, ISSN 0924-090X, 5/2018, Volume 92, Issue 3, pp. 973 - 982
Engineering | Vibration, Dynamical Systems, Control | Nernst potential | Negative power | Ion pump | Classical Mechanics | H–H model | Wang–Zhang model | Automotive Engineering | Mechanical Engineering | Mechanics | Technology | Engineering, Mechanical | Science & Technology | Computer science | Models | Neurons | Analysis | Brain | Energy levels | Energy | Energy absorption | Maximum power
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