Works about BOLTZMANN machine

Results: 484

TransUNet Image 3D Reconstruction with Hyperparameter Optimization.

Published in:

Technical Gazette / Tehnički Vjesnik, 2025, v. 32, n. 3, p. 1133, doi. 10.17559/TV-20240317001402

By:

Xiaofang WANG;
Zhihao LUO;
Mingrui GOU;
Kerui MAO;
Liang ZHOU

Publication type:

Article

Advancing Structural Health Monitoring with Deep Belief Network-Based Classification.

Published in:

Mathematics (2227-7390), 2025, v. 13, n. 9, p. 1435, doi. 10.3390/math13091435

By:

Presno Vélez, Álvaro;
Fernández Muñiz, Zulima;
Fernández Martínez, Juan Luis

Publication type:

Article

The Sharing Model of Kindergarten Art Enlightenment Education Curriculum Resources Based on Deep Learning Algorithm.

Published in:

International Journal of High Speed Electronics & Systems, 2025, v. 34, n. 3, p. 1, doi. 10.1142/S0129156424401232

By:

Huang, Jun

Publication type:

Article

深度生成式故障诊断模型研究.

Published in:

Machine Tool & Hydraulics, 2025, v. 53, n. 4, p. 205, doi. 10.3969/j.issn.1001-3881.2025.04.030

By:

黄汉坤;
岑健;
赵必创;
司伟伟;
王玮樾;
潘黄楠

Publication type:

Article

The 2024 Nobel Prize in Physics.

Published in:

2025

By:

Sakellariadou, Mairi

Publication type:

Editorial

Learning with artificial and natural neural networks: trade-offs in energy consumption and representations.

Published in:

Europhysics News, 2025, v. 56, n. 1, p. 24, doi. 10.1051/epn/2025109

By:

Cocco, Simona;
Monasson, Rémi

Publication type:

Article

The enduring relevance of simple machine learning models.

Published in:

Europhysics News, 2025, v. 56, n. 1, p. 20, doi. 10.1051/epn/2025108

By:

Baiesi, Marco;
Suweis, Samir

Publication type:

Article

The optimization of parallel convolutional RBM based on Spark.

Published in:

International Journal of Wavelets, Multiresolution & Information Processing, 2019, v. 17, n. 2, p. N.PAG, doi. 10.1142/S0219691319400113

By:

Jiang, Yun;
Zhuo, Junyu;
Zhang, Juan;
Xiao, Xiao

Publication type:

Article

Multi-objective optimization of process parameters in stamping based on an improved RBM–BPNN network and MOPSO algorithm.

Published in:

Structural & Multidisciplinary Optimization, 2021, v. 64, n. 6, p. 4209, doi. 10.1007/s00158-021-03056-1

By:

Xie, Yanmin;
Du, Lingfeng;
Zhao, Jiangbo;
Liu, Cheng;
Li, Wei

Publication type:

Article

Accelerated topology optimization by means of deep learning.

Published in:

Structural & Multidisciplinary Optimization, 2020, v. 62, n. 3, p. 1185, doi. 10.1007/s00158-020-02545-z

By:

Kallioras, Nikos Ath.;
Kazakis, Georgios;
Lagaros, Nikos D.

Publication type:

Article

Detecting Epileptic Seizures Using Symplectic Geometry Decomposition-Based Features and Gaussian Deep Boltzmann Machines.

Published in:

International Journal of Image & Graphics, 2024, v. 24, n. 4, p. 1, doi. 10.1142/S021946782450044X

By:

Visalini, K.;
Alagarsamy, Saravanan;
Raja, S. P.

Publication type:

Article

Mining of intrusion attack in SCADA network using clustering and genetically seeded flora‐based optimal classification algorithm.

Published in:

IET Information Security (Wiley-Blackwell), 2020, v. 14, n. 1, p. 1, doi. 10.1049/iet-ifs.2019.0011

By:

Selvarajan, Shitharth;
Shaik, Masood;
Ameerjohn, Sirajudeen;
Kannan, Sangeetha

Publication type:

Article

Memorability‐based image compression.

Published in:

IET Image Processing (Wiley-Blackwell), 2019, v. 13, n. 9, p. 1490, doi. 10.1049/iet-ipr.2018.6097

By:

Khanna, Meera Thapar;
Ralekar, Chetan;
Goel, Anurika;
Chaudhury, Santanu;
Lall, Brejesh

Publication type:

Article

Deep neural networks as variational solutions for correlated open quantum systems.

Published in:

Communications Physics, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42005-024-01757-9

By:

Mellak, Johannes;
Arrigoni, Enrico;
von der Linden, Wolfgang

Publication type:

Article

On the sample complexity of quantum Boltzmann machine learning.

Published in:

Communications Physics, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42005-024-01763-x

By:

Coopmans, Luuk;
Benedetti, Marcello

Publication type:

Article

Deep neural networks as variational solutions for correlated open quantum systems.

Published in:

Communications Physics, 2024, v. 7, n. 1, p. 1, doi. 10.1038/s42005-024-01757-9

By:

Mellak, Johannes;
Arrigoni, Enrico;
von der Linden, Wolfgang

Publication type:

Article

Nonlinear dynamics of a nonisothermal collisionless plasma flow.

Published in:

Plasma Physics Reports, 2014, v. 40, n. 5, p. 389, doi. 10.1134/S1063780X14040059

By:

Movsesyants, Yu.;
Tyuryukanov, P.

Publication type:

Article

利用深度信念网络进行滑坡易发性评价.

Published in:

Geomatics & Information Science of Wuhan University, 2020, v. 45, n. 11, p. 1809, doi. 10.13203/j.whugis20190144

By:

陈涛;
钟子颖;
牛瑞卿;
刘桐;
陈胜云

Publication type:

Article

Microgrid Stability Improvement Using a Deep Neural Network Controller Based VSG.

Published in:

International Transactions on Electrical Energy Systems, 2022, p. 1, doi. 10.1155/2022/7539173

By:

Ghodsi, Mohammad Reza;
Tavakoli, Alireza;
Samanfar, Amin

Publication type:

Article

A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity.

Published in:

eLife, 2023, p. 1, doi. 10.7554/eLife.85126

By:

Bravi, Barbara;
Di Gioacchino, Andrea;
Fernandez-de-Cossio-Diaz, Jorge;
Walczak, Aleksandra M.;
Mora, Thierry;
Cocco, Simona;
Monasson, Rémi

Publication type:

Article

p-Adic statistical field theory and convolutional deep Boltzmann machines.

Published in:

Progress of Theoretical & Experimental Physics: PTEP, 2023, v. 2023, n. 6, p. 1, doi. 10.1093/ptep/ptad061

By:

Zúñiga-Galindo, W A;
He, C;
Zambrano-Luna, B A

Publication type:

Article

A quantum-inspired probabilistic prime factorization based on virtually connected Boltzmann machine and probabilistic annealing.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-43054-5

By:

Jung, Hyundo;
Kim, Hyunjin;
Lee, Woojin;
Jeon, Jinwoo;
Choi, Yohan;
Park, Taehyeong;
Kim, Chulwoo

Publication type:

Article

Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41797-9

By:

Batool, Summiya;
Gilani, Syed Omer;
Waris, Asim;
Iqbal, Khawaja Fahad;
Khan, Niaz B.;
Khan, M. Ijaz;
Eldin, Sayed M.;
Awwad, Fuad A.

Publication type:

Article

A quantum-inspired probabilistic prime factorization based on virtually connected Boltzmann machine and probabilistic annealing.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-43054-5

By:

Jung, Hyundo;
Kim, Hyunjin;
Lee, Woojin;
Jeon, Jinwoo;
Choi, Yohan;
Park, Taehyeong;
Kim, Chulwoo

Publication type:

Article

Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-42657-2

By:

Sikora, Andrea;
Jeong, Hayoung;
Yu, Mengyun;
Chen, Xianyan;
Murray, Brian;
Kamaleswaran, Rishikesan

Publication type:

Article

Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-41797-9

By:

Batool, Summiya;
Gilani, Syed Omer;
Waris, Asim;
Iqbal, Khawaja Fahad;
Khan, Niaz B.;
Khan, M. Ijaz;
Eldin, Sayed M.;
Awwad, Fuad A.

Publication type:

Article

Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs.

Published in:

Geofluids, 2022, p. 1, doi. 10.1155/2022/9443955

By:

Zhang, Shenghan;
Gu, Yufeng;
Gao, Yinshan;
Wang, Xinxing;
Zhang, Daoyong;
Zhou, Liming

Publication type:

Article

Probabilistic computing with NbO<sub>x</sub> metal-insulator transition-based self-oscillatory pbit.

Published in:

Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-43085-6

By:

Rhee, Hakseung;
Kim, Gwangmin;
Song, Hanchan;
Park, Woojoon;
Kim, Do Hoon;
In, Jae Hyun;
Lee, Younghyun;
Kim, Kyung Min

Publication type:

Article

Learning Coefficient in Bayesian Estimation of Restricted Boltzmann Machine.

Published in:

Journal of Algebraic Statistics, 2013, v. 4, n. 1, p. 31, doi. 10.18409/jas.v4i1.18

By:

Miki Aoyagi

Publication type:

Article

A Comprehensive Survey of Deep Learning and Its Applications in Advancing Artificial Intelligence.

Published in:

International Journal of Advanced Research in Computer Science, 2024, v. 15, n. 2, p. 25, doi. 10.26483/ijarcs.v15i2.7052

By:

Sugil, A. Jasmine;
Merriliance, K.;
Lourdusamy, Mary Immaculate Sheela

Publication type:

Article

CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset.

Published in:

Computers, Materials & Continua, 2024, v. 79, n. 3, p. 4319, doi. 10.32604/cmc.2024.050586

By:

Alrayes, Fatma S.;
Zakariah, Mohammed;
Amin, Syed Umar;
Khan, Zafar Iqbal;
Alqurni, Jehad Saad

Publication type:

Article

Enhancing Architectural Image Processing: A Novel 2D to 3D Algorithm Using Improved Convolutional Neural Networks.

Published in:

Computer Science & Information Systems, 2024, v. 21, n. 4, p. 1457, doi. 10.2298/CSIS230725043Z

By:

Qianying Zou;
Fengyu Liu;
Yuan Liao

Publication type:

Article

Learning Algorithm of Boltzmann Machine Based on Spatial Monte Carlo Integration Method.

Published in:

Algorithms, 2018, v. 11, n. 4, p. 42, doi. 10.3390/a11040042

By:

Yasuda, Muneki

Publication type:

Article

State of health prediction of medical lithium batteries based on multi-scale decomposition and deep learning.

Published in:

Advances in Mechanical Engineering (Sage Publications Inc.), 2020, v. 12, n. 5, p. 1, doi. 10.1177/1687814020923202

By:

Liu, Chang Chun;
Wu, Tao;
He, Cheng

Publication type:

Article

Educational Quality Evaluation Model Based on Deep Learning Theory.

Published in:

International Journal of High Speed Electronics & Systems, 2025, v. 34, n. 1, p. 1, doi. 10.1142/S0129156425401652

By:

Liu, Yu;
Wang, Fang

Publication type:

Article

Bus travel time prediction based on deep belief network with back-propagation.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 14, p. 10435, doi. 10.1007/s00521-019-04579-x

By:

Chen, Chao;
Wang, Hui;
Yuan, Fang;
Jia, Huizhong;
Yao, Baozhen

Publication type:

Article

Identifying data streams anomalies by evolving spiking restricted Boltzmann machines.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 11, p. 6699, doi. 10.1007/s00521-019-04288-5

By:

Xing, Lining;
Demertzis, Konstantinos;
Yang, Jinghui

Publication type:

Article

Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 9, p. 4933, doi. 10.1007/s00521-018-3897-z

By:

Xiang, Zhiyang;
Deng, Changshou;
Xiang, Xueting;
Yu, Mali;
Xiong, Jing

Publication type:

Article

Probabilistic approaches for music similarity using restricted Boltzmann machines.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 8, p. 3999, doi. 10.1007/s00521-019-04106-y

By:

Tran, Son N.;
Ngo, Son;
Garcez, Artur d'Avila

Publication type:

Article

Robust spike-and-slab deep Boltzmann machines for face denoising.

Published in:

Neural Computing & Applications, 2020, v. 32, n. 7, p. 2815, doi. 10.1007/s00521-018-3866-6

By:

Zhang, Nan;
Ding, Shifei;
Zhang, Jian;
Zhao, Xingyu

Publication type:

Article

A motion classification model with improved robustness through deformation code integration.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 12, p. 8519, doi. 10.1007/s00521-018-3681-0

By:

Xia, Lei;
Lv, Jiancheng;
Liu, Dongbo

Publication type:

Article

Adaptive structure learning method of deep belief network using neuron generation–annihilation and layer generation.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 11, p. 8035, doi. 10.1007/s00521-018-3622-y

By:

Kamada, Shin;
Ichimura, Takumi;
Hara, Akira;
Mackin, Kenneth J.

Publication type:

Article

Prediction of electricity consumption in cement production: a time-varying delay deep belief network prediction method.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 11, p. 7165, doi. 10.1007/s00521-018-3540-z

By:

Hao, Xiaochen;
Wang, Zhaoxu;
Shan, Zeyu;
Zhao, Yantao

Publication type:

Article

A new variant of restricted Boltzmann machine with horizontal connections.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 10, p. 6521, doi. 10.1007/s00521-018-3460-y

By:

Shi, Guang;
Zhang, Jiangshe;
Ji, NanNan;
Wang, ChangPeng

Publication type:

Article

A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information.

Published in:

Neural Computing & Applications, 2019, v. 31, n. 9, p. 4685, doi. 10.1007/s00521-018-3509-y

By:

Wu, Xiaojun;
Yuan, Xiaojie;
Duan, Chunyan;
Wu, Jing

Publication type:

Article

A fast pseudo-stochastic sequential cipher generator based on RBMs.

Published in:

Neural Computing & Applications, 2018, v. 30, n. 4, p. 1277, doi. 10.1007/s00521-016-2753-2

By:

Hu, Fei;
Xu, Xiaofei;
Peng, Tao;
Pu, Changjiu;
Li, Li

Publication type:

Article

Classification model of restricted Boltzmann machine based on reconstruction error.

Published in:

Neural Computing & Applications, 2018, v. 29, n. 11, p. 1171, doi. 10.1007/s00521-016-2628-6

By:

Yin, Jing;
Lv, Jiancheng;
Sang, Yongsheng;
Guo, Jixiang

Publication type:

Article

Convolutional restricted Boltzmann machines learning for robust visual tracking.

Published in:

Neural Computing & Applications, 2014, v. 25, n. 6, p. 1383, doi. 10.1007/s00521-014-1625-x

By:

Lei, Jun;
Li, GuoHui;
Tu, Dan;
Guo, Qiang

Publication type:

Article

A novel approach to accelerate the convergence speed of a stochastic multi-agent system using recurrent neural nets.

Published in:

Neural Computing & Applications, 2012, v. 21, n. 8, p. 2015, doi. 10.1007/s00521-011-0624-4

By:

Nourafza, Nasim;
Setayeshi, Saeed;
Khadem-Zadeh, Ahmad

Publication type:

Article

The analysis of infrared high-speed motion capture system on motion aesthetics of aerobics athletes under biomechanics analysis.

Published in:

PLoS ONE, 2023, v. 18, n. 5, p. 1, doi. 10.1371/journal.pone.0286313

By:

Qiu, Yaoyu;
Guan, Yingrong;
Liu, Shuang

Publication type:

Article