Artykuły w czasopismach na temat „DBN (Deep Belief Network)”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „DBN (Deep Belief Network)”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Peng, Fan, Suping Peng, Wenfeng Du i Hongshuan Liu. "Coalbed methane content prediction using deep belief network". Interpretation 8, nr 2 (1.05.2020): T309—T321. http://dx.doi.org/10.1190/int-2019-0126.1.
Pełny tekst źródłaZhang, Kaiyu, Shanshan Shi, Shu Liu, Junjie Wan i Lijia Ren. "Research on DBN-based Evaluation of Distribution Network Reliability". E3S Web of Conferences 242 (2021): 03004. http://dx.doi.org/10.1051/e3sconf/202124203004.
Pełny tekst źródłaYang, Lei, Chunqing Zhao, Chao Lu, Lianzhen Wei i Jianwei Gong. "Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network". Sensors 21, nr 24 (20.12.2021): 8498. http://dx.doi.org/10.3390/s21248498.
Pełny tekst źródłaSun, Lili. "Optimization of Physical Education Course Resource Allocation Model Based on Deep Belief Network". Mathematical Problems in Engineering 2023 (29.04.2023): 1–8. http://dx.doi.org/10.1155/2023/8457760.
Pełny tekst źródłaPrabowo, Abram Setyo, Agus Sihabuddin i Azhari SN. "Adaptive Moment Estimation On Deep Belief Network For Rupiah Currency Forecasting". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13, nr 1 (31.01.2019): 31. http://dx.doi.org/10.22146/ijccs.39071.
Pełny tekst źródłaTan, Xiaopeng, Shaojing Su, Zhen Zuo, Xiaojun Guo i Xiaoyong Sun. "Intrusion Detection of UAVs Based on the Deep Belief Network Optimized by PSO". Sensors 19, nr 24 (14.12.2019): 5529. http://dx.doi.org/10.3390/s19245529.
Pełny tekst źródłaYan, Yan, Xu-Cheng Yin, Sujian Li, Mingyuan Yang i Hong-Wei Hao. "Learning Document Semantic Representation with Hybrid Deep Belief Network". Computational Intelligence and Neuroscience 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/650527.
Pełny tekst źródłaYang, Huihua, Baichao Hu, Xipeng Pan, Shengke Yan, Yanchun Feng, Xuebo Zhang, Lihui Yin i Changqin Hu. "Deep belief network-based drug identification using near infrared spectroscopy". Journal of Innovative Optical Health Sciences 10, nr 02 (marzec 2017): 1630011. http://dx.doi.org/10.1142/s1793545816300111.
Pełny tekst źródłaSharipuddin, Sharipuddin, Eko Arip Winanto, Zulwaqar Zain Mohtar, Kurniabudi Kurniabudi, Ibnu Sani Wijaya i Dodi Sandra. "Improvement detection system on complex network using hybrid deep belief network and selection features". Indonesian Journal of Electrical Engineering and Computer Science 31, nr 1 (1.07.2023): 470. http://dx.doi.org/10.11591/ijeecs.v31.i1.pp470-479.
Pełny tekst źródłaAnh, Duong Tuan, i Ta Ngoc Huy Nam. "Chaotic time series prediction with deep belief networks: an empirical evaluation". Science & Technology Development Journal - Engineering and Technology 3, SI1 (4.12.2020): SI102—SI112. http://dx.doi.org/10.32508/stdjet.v3isi1.571.
Pełny tekst źródłaRajadnya, Prof Kirti. "Speech Recognition using Deep Neural Network Neural (DNN) and Deep Belief Network (DBN)". International Journal for Research in Applied Science and Engineering Technology 8, nr 5 (31.05.2020): 1543–48. http://dx.doi.org/10.22214/ijraset.2020.5359.
Pełny tekst źródłaTong, Guiying. "Music Emotion Classification Method Using Improved Deep Belief Network". Mobile Information Systems 2022 (18.03.2022): 1–7. http://dx.doi.org/10.1155/2022/2715765.
Pełny tekst źródłaAlom, Zahangir, Venkata Ramesh Bontupalli i Tarek M. Taha. "Intrusion Detection Using Deep Belief Network and Extreme Learning Machine". International Journal of Monitoring and Surveillance Technologies Research 3, nr 2 (kwiecień 2015): 35–56. http://dx.doi.org/10.4018/ijmstr.2015040103.
Pełny tekst źródłaZulfa, Ira, i Edi Winarko. "Sentimen Analisis Tweet Berbahasa Indonesia Dengan Deep Belief Network". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 11, nr 2 (31.07.2017): 187. http://dx.doi.org/10.22146/ijccs.24716.
Pełny tekst źródłaLi, Chenming, Yongchang Wang, Xiaoke Zhang, Hongmin Gao, Yao Yang i Jiawei Wang. "Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data". Sensors 19, nr 1 (8.01.2019): 204. http://dx.doi.org/10.3390/s19010204.
Pełny tekst źródłaArum, Aprilisa, i Pramono Pramono. "Penerapan Algoritma Deep Belief Networks (DBNs) Untuk Prediksi Kanker Serviks". DutaCom 17, nr 1 (28.02.2023): 50–57. http://dx.doi.org/10.47701/dutacom.v17i1.3790.
Pełny tekst źródłaConstantin Menteng, Arief Setyanto i Hanif Al Fatta. "MODEL DETEKSI SERANGAN SSH-BRUTE FORCE BERDASARKAN DEEP BELIEF NETWORK". Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika 7, nr 2 (5.08.2023): 101–10. http://dx.doi.org/10.47111/jti.v7i2.8151.
Pełny tekst źródłaJiang, Keruo, Zhen Huang, Xinyan Zhou, Chudong Tong, Minjie Zhu i Heshan Wang. "Deep belief improved bidirectional LSTM for multivariate time series forecasting". Mathematical Biosciences and Engineering 20, nr 9 (2023): 16596–627. http://dx.doi.org/10.3934/mbe.2023739.
Pełny tekst źródłaRuiz Cárdenas, Luis Carlos, Dario Amaya Hurtado i Robinson Jiménez Moreno. "Predicción de radiación solar mediante deep belief network". Revista Tecnura 20, nr 47 (18.02.2016): 39. http://dx.doi.org/10.14483/udistrital.jour.tecnura.2016.1.a03.
Pełny tekst źródłaZhong, P., Z. Q. Gong i C. Schönlieb. "A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (21.06.2016): 443–49. http://dx.doi.org/10.5194/isprs-archives-xli-b7-443-2016.
Pełny tekst źródłaZhong, P., Z. Q. Gong i C. Schönlieb. "A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (21.06.2016): 443–49. http://dx.doi.org/10.5194/isprsarchives-xli-b7-443-2016.
Pełny tekst źródłaWang, Shuqin, Gang Hua, Guosheng Hao i Chunli Xie. "A Cycle Deep Belief Network Model for Multivariate Time Series Classification". Mathematical Problems in Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/9549323.
Pełny tekst źródłaWang, Hai, Yingfeng Cai i Long Chen. "A Vehicle Detection Algorithm Based on Deep Belief Network". Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/647380.
Pełny tekst źródłaGourisaria, Mahendra Kumar, Harshvardhan GM, Rakshit Agrawal, Sudhansu Shekhar Patra, Siddharth Swarup Rautaray i Manjusha Pandey. "Arrhythmia Detection Using Deep Belief Network Extracted Features From ECG Signals". International Journal of E-Health and Medical Communications 12, nr 6 (listopad 2021): 1–24. http://dx.doi.org/10.4018/ijehmc.20211101.oa9.
Pełny tekst źródłaZhang, Yue, i Fangai Liu. "An Improved Deep Belief Network Prediction Model Based on Knowledge Transfer". Future Internet 12, nr 11 (29.10.2020): 188. http://dx.doi.org/10.3390/fi12110188.
Pełny tekst źródłaXi, Shuyue, i Xiaozhong Xu. "Dynamic gaussian deep belief network design and stock market application". Intelligent Data Analysis 27, nr 2 (15.03.2023): 519–34. http://dx.doi.org/10.3233/ida-216340.
Pełny tekst źródłaYang, Jianjian, Boshen Chang, Xiaolin Wang, Qiang Zhang, Chao Wang, Fan Wang i Miao Wu. "Design and Application of Deep Belief Network Based on Stochastic Adaptive Particle Swarm Optimization". Mathematical Problems in Engineering 2020 (24.08.2020): 1–10. http://dx.doi.org/10.1155/2020/6590765.
Pełny tekst źródłaShen, Changqing, Jiaqi Xie, Dong Wang, Xingxing Jiang, Juanjuan Shi i Zhongkui Zhu. "Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis". Applied Sciences 9, nr 16 (16.08.2019): 3374. http://dx.doi.org/10.3390/app9163374.
Pełny tekst źródłaSrinivasa Rao, T. C., S. S. Tulasi Ram i J. B. V. Subrahmanyam. "Fault Signal Recognition in Power Distribution System using Deep Belief Network". Journal of Intelligent Systems 29, nr 1 (13.03.2018): 459–74. http://dx.doi.org/10.1515/jisys-2017-0499.
Pełny tekst źródłaM., Arshey, i Angel Viji K. S. "An optimization-based deep belief network for the detection of phishing e-mails". Data Technologies and Applications 54, nr 4 (16.07.2020): 529–49. http://dx.doi.org/10.1108/dta-02-2020-0043.
Pełny tekst źródłaSheng, Dali, Jinlian Deng, Wei Zhang, Jie Cai, Weisheng Zhao i Jiawei Xiang. "A Statistical Image Feature-Based Deep Belief Network for Fire Detection". Complexity 2021 (5.08.2021): 1–12. http://dx.doi.org/10.1155/2021/5554316.
Pełny tekst źródłaKadam, Vinod Jagannath, i Shivajirao Manikrao Jadhav. "Optimal weighted feature vector and deep belief network for medical data classification". International Journal of Wavelets, Multiresolution and Information Processing 18, nr 02 (3.12.2019): 2050006. http://dx.doi.org/10.1142/s021969132050006x.
Pełny tekst źródłaMunish, Saran, Kumar Yadav Rajan, Maurya Pranjal, Devi Sangeeta i Nath Tripathi Upendra. "A novel methodology for enhancing intrusion detection system". i-manager’s Journal on Software Engineering 17, nr 4 (2023): 9. http://dx.doi.org/10.26634/jse.17.4.20009.
Pełny tekst źródłaKamada, Shin, Takumi Ichimura i Toshihide Harada. "Knowledge Extraction of Adaptive Structural Learning of Deep Belief Network for Medical Examination Data". International Journal of Semantic Computing 13, nr 01 (marzec 2019): 67–86. http://dx.doi.org/10.1142/s1793351x1940004x.
Pełny tekst źródłaXiao-Hong Qiu, Xiao-Hong Qiu, Jia-Li Chen Xiao-Hong Qiu i Zi-Ying Ao Jia-Li Chen. "Stall Warning Algorithm of Axial Compressor Based on SSA-DBN". 電腦學刊 33, nr 3 (czerwiec 2022): 059–71. http://dx.doi.org/10.53106/199115992022063303005.
Pełny tekst źródłaZhao, Huimin, Xiaoxu Yang, Baojie Chen, Huayue Chen i Wu Deng. "Bearing fault diagnosis using transfer learning and optimized deep belief network". Measurement Science and Technology 33, nr 6 (7.03.2022): 065009. http://dx.doi.org/10.1088/1361-6501/ac543a.
Pełny tekst źródłaLuu, Do Ngoc, Nguyen Ngoc Phien i Duong Tuan Anh. "Tuning Parameters in Deep Belief Networks for Time Series Prediction through Harmony Search". International Journal of Machine Learning and Computing 11, nr 4 (sierpień 2021): 274–80. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1047.
Pełny tekst źródłaYe, Zilin. "Application of Improved Deep Belief Network Model in 3D Art Design". Mathematical Problems in Engineering 2022 (5.04.2022): 1–9. http://dx.doi.org/10.1155/2022/2213561.
Pełny tekst źródłaWei, Yuan, Huanchang Zhang, Jiahui Dai, Ruili Zhu, Lihong Qiu, Yuzhuo Dong i Shuai Fang. "Deep Belief Network with Swarm Spider Optimization Method for Renewable Energy Power Forecasting". Processes 11, nr 4 (26.03.2023): 1001. http://dx.doi.org/10.3390/pr11041001.
Pełny tekst źródłaPatil, Balasaheb H. "Effect of Optimized Deep Belief Network to Patch-Based Image Inpainting Forensics". International Journal of Swarm Intelligence Research 13, nr 3 (1.07.2022): 1–21. http://dx.doi.org/10.4018/ijsir.304401.
Pełny tekst źródłaLi, Zhengying, Hong Huang, Zhen Zhang i Guangyao Shi. "Manifold-Based Multi-Deep Belief Network for Feature Extraction of Hyperspectral Image". Remote Sensing 14, nr 6 (19.03.2022): 1484. http://dx.doi.org/10.3390/rs14061484.
Pełny tekst źródłaWang, Xiangqian, Fang Huang, Wencong Wan i Chengyuan Zhang. "Academic Activities Transaction Extraction Based on Deep Belief Network". Advances in Multimedia 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/5067069.
Pełny tekst źródłaCai, Yulin, Puran Fan, Sen Lang, Mengyao Li, Yasir Muhammad i Aixia Liu. "Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network". Remote Sensing 14, nr 22 (10.11.2022): 5681. http://dx.doi.org/10.3390/rs14225681.
Pełny tekst źródłaZeng, Qingwen, Chunyan Hu, Jiaxian Sun, Yafeng Shen i Keqiang Miao. "Monitoring of Thermoacoustic Combustion Instability via Recurrence Quantification Analysis and Optimized Deep Belief Network". Symmetry 16, nr 3 (22.02.2024): 266. http://dx.doi.org/10.3390/sym16030266.
Pełny tekst źródłaYu, He, Zaike Tian, Hongru Li, Baohua Xu i Guoqing An. "A Novel Deep Belief Network Model Constructed by Improved Conditional RBMs and its Application in RUL Prediction for Hydraulic Pumps". International Journal of Acoustics and Vibration 25, nr 3 (30.09.2020): 373–82. http://dx.doi.org/10.20855/ijav.2020.25.31669.
Pełny tekst źródłaWang, Ching-Hsin, Kuo-Ping Lin, Yu-Ming Lu i Chih-Feng Wu. "Deep Belief Network with Seasonal Decomposition for Solar Power Output Forecasting". International Journal of Reliability, Quality and Safety Engineering 26, nr 06 (grudzień 2019): 1950029. http://dx.doi.org/10.1142/s0218539319500293.
Pełny tekst źródłaObaid, Ahmed J., i Hassanain K. Alrammahi. "An Intelligent Facial Expression Recognition System Using a Hybrid Deep Convolutional Neural Network for Multimedia Applications". Applied Sciences 13, nr 21 (5.11.2023): 12049. http://dx.doi.org/10.3390/app132112049.
Pełny tekst źródłaTian, Shengwei, Yilin Yan, Long Yu, Mei Wang i Li Li. "Prediction of Anti-Malarial Activity Based on Deep Belief Network". International Journal of Computational Intelligence and Applications 17, nr 03 (wrzesień 2018): 1850012. http://dx.doi.org/10.1142/s1469026818500128.
Pełny tekst źródłaZhu, Chang-Hao, i Jie Zhang. "Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks". International Journal of Automation and Computing 17, nr 1 (5.11.2019): 44–54. http://dx.doi.org/10.1007/s11633-019-1203-x.
Pełny tekst źródłaYu, Long, Xinyu Shi, Shengwei Tian, Shuangyin Gao i Li Li. "Classification of Cytochrome P450 1A2 Inhibitors and Noninhibitors Based on Deep Belief Network". International Journal of Computational Intelligence and Applications 16, nr 01 (marzec 2017): 1750002. http://dx.doi.org/10.1142/s146902681750002x.
Pełny tekst źródła