المؤلفون: Xie, Hao, Ding, Yijie, Qian, Yuqing, Tiwari, Prayag, 1991, Guo, Fei

المصدر: Expert systems with applications. 235

مصطلحات موضوعية: Biological sequence classification, DNA N4-methylcytosine, Group sparse regularization, Machine learning, Random Vector Functional Link Network

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-51569
https://doi.org/10.1016/j.eswa.2023.121157

المؤلفون: Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, Sung-Bae Cho

المصدر: IEEE Access, Vol 11, Pp 57693-57716 (2023)

مصطلحات موضوعية: Cryptocurrency, bitcoin, random vector functional link network, financial time series forecasting, artificial neural network, AEFA, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10145455/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/e3f6a417589e49d6a6fea1559c0fc89d

المؤلفون: Mohammed A.A. Al-qaness, Ahmed A. Ewees, Hong Fan, Laith Abualigah, Ammar H. Elsheikh, Mohamed Abd Elaziz

المصدر: Ain Shams Engineering Journal, Vol 14, Iss 9, Pp 102095- (2023)

مصطلحات موضوعية: Wind power prediction, Time series forecasting, Random Vector Functional Link network, Capuchin search algorithm (CapSA), Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447922004063; https://doaj.org/toc/2090-4479

URL الوصول: https://doaj.org/article/c12be06bc0714e19be4c7ef492551284

المؤلفون: Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, P. N., Yuen, Kum Fai

المساهمون: School of Electrical and Electronic Engineering, School of Civil and Environmental Engineering

مصطلحات موضوعية: Engineering, Forecasting, Random vector functional link network

وصف الملف: application/pdf

Relation: AISG2-TC-2021-001; Neural Networks; Gao, R., Li, R., Hu, M., Suganthan, P. N. & Yuen, K. F. (2023). Online dynamic ensemble deep random vector functional link neural network for forecasting. Neural Networks, 166, 51-69. https://dx.doi.org/10.1016/j.neunet.2023.06.042; https://hdl.handle.net/10356/174180; 2-s2.0-85165952436; 166; 51; 69

الاتاحة: https://hdl.handle.net/10356/174180
https://doi.org/10.1016/j.neunet.2023.06.042

المؤلفون: Sandhyalati Behera, Mihir Narayan Mohanty

المصدر: Measurement: Sensors, Vol 24, Iss , Pp 100465- (2022)

مصطلحات موضوعية: Wavelet vector functional link network (WVFLN), Random vector functional link network (RVFLN), Constrained independent component Analysis(cICA), Mean square error(MSE), Discrete wavelet transform(DWT), Internet of medical Things(IoMT), Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S266591742200099X; https://doaj.org/toc/2665-9174

URL الوصول: https://doaj.org/article/76c611d8deec44f6b5855027e7499588

المؤلفون: Ammar H. Elsheikh, Mohamed Abd Elaziz, B. Ramesh, Mohamed Egiza, Mohammed A.A. Al-qaness

المصدر: Journal of Materials Research and Technology, Vol 14, Iss , Pp 298-311 (2021)

مصطلحات موضوعية: Non-laminated composites, Glass fiber-reinforced epoxy, Drilling, Random vector functional link network, Parasitism-predation algorithm, Mining engineering. Metallurgy, TN1-997

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2238785421005883; https://doaj.org/toc/2238-7854

URL الوصول: https://doaj.org/article/91b601dda702427083001271b12b48f0

المؤلفون: Huixian Shi, Zijing Wang, Haiyi Zhou, Kaiyan Lin, Shuping Li, Xinnan Zheng, Zheng Shen, Jiaoliao Chen, Lei Zhang, Yalei Zhang

المصدر: Sustainability; Volume 14; Issue 14; Pages: 8314

مصطلحات موضوعية: water quality prediction, random vector functional link network, multi-verse optimizer, soft sensor, evolutionary algorithm

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/su14148314

الاتاحة: https://doi.org/10.3390/su14148314

المؤلفون: Rosato, Antonello, Panella, Massimo, Kleyko, Denis

المصدر: Proceedings of the International Joint Conference on Neural Networks. 2021-July

مصطلحات موضوعية: Classification (of information), Computational costs, Distributed classification, Functional-link network, Hyperdimensional computing, Local classifier, Neural-networks, Random vector functional link network, Random vectors, Randomized neural network, Simple++, Inference engines

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-67778
https://doi.org/10.1109/IJCNN52387.2021.9533805
https://iris.uniroma1.it/bitstream/11573/1580318/1/Rosato_Hyperdimensional_2021.pdf

المؤلفون: Shouping Guan, Zihe Zhang, Zhouying Cui

المصدر: IEEE Access, Vol 8, Pp 9809-9820 (2020)

مصطلحات موضوعية: Interval neural network (INN), random vector functional-link network (RVFLN), unknown but bounded (UBB) errors, uncertain dynamic system modeling, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8952641/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/175255563fb84bbea97e00c426db46cf

المؤلفون: Pu Lan, Kewen Xia, Yongke Pan, Shurui Fan

المصدر: Electronics; Volume 10; Issue 24; Pages: 3178

مصطلحات موضوعية: grey wolf optimizer, marine predators algorithm, random vector functional link network, oil layer prediction

وصف الملف: application/pdf

Relation: Systems & Control Engineering; https://dx.doi.org/10.3390/electronics10243178

الاتاحة: https://doi.org/10.3390/electronics10243178

المؤلفون: Wei Dai, Qixin Chen, Fei Chu, Xiaoping Ma, Tianyou Chai

المصدر: IEEE Access, Vol 5, Pp 16162-16172 (2017)

مصطلحات موضوعية: Complex industrial process, production quality index, random vector functional link network (RVFLN), nonparametric kernel density estimation, robustness, regularization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8004428/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/9e746560fde64e81aa342b4036beef39

المؤلفون: Mohamed Abd Elaziz, Ammar H. Elsheikh, Mohamed Egiza, Mohammed A. A. Al-qaness, B. Ramesh

المصدر: Journal of Materials Research and Technology, Vol 14, Iss, Pp 298-311 (2021)

مصطلحات موضوعية: Coefficient of determination, Materials science, Mean squared error, Multivariate random variable, Random vector functional link network, Drilling, 02 engineering and technology, 01 natural sciences, Biomaterials, 0103 physical sciences, Glass fiber-reinforced epoxy, Metaheuristic, 010302 applied physics, Mining engineering. Metallurgy, Drill, Metals and Alloys, Process (computing), TN1-997, 021001 nanoscience & nanotechnology, Surfaces, Coatings and Films, Coolant, Non-laminated composites, Ceramics and Composites, 0210 nano-technology, Parasitism-predation algorithm, Algorithm

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2005665d0ba095a40a638b995e8c31e
http://www.sciencedirect.com/science/article/pii/S2238785421005883

المؤلفون: Shi, Qiushi, Suganthan, Ponnuthurai Nagaratnam, Del Ser, Javier

المساهمون: School of Electrical and Electronic Engineering

مصطلحات موضوعية: Engineering::Electrical and electronic engineering, Random Vector Functional Link Network, Jointly Optimized Learning Strategy

Relation: Engineering Applications of Artificial Intelligence; Shi, Q., Suganthan, P. N. & Del Ser, J. (2022). Jointly optimized ensemble deep random vector functional link network for semi-supervised classification. Engineering Applications of Artificial Intelligence, 115, 105214-. https://dx.doi.org/10.1016/j.engappai.2022.105214; https://hdl.handle.net/10356/163122; 2-s2.0-85135684489; 115; 105214

الاتاحة: https://hdl.handle.net/10356/163122
https://doi.org/10.1016/j.engappai.2022.105214

المؤلفون: Qiushi Shi, Ponnuthurai Nagaratnam Suganthan, Javier Del Ser

المساهمون: School of Electrical and Electronic Engineering

مصطلحات موضوعية: Jointly Optimized Learning Strategy, Artificial Intelligence, Control and Systems Engineering, Electrical and electronic engineering [Engineering], Random Vector Functional Link Network, Electrical and Electronic Engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffbcbfdf98ea11b12b190163852e6fae
https://hdl.handle.net/10356/163122

المؤلفون: Diao, C., Kleyko, Denis, Rabaey, J. M., Olshausen, B. A.

المصدر: Proceedings of the International Joint Conference on Neural Networks.

مصطلحات موضوعية: Learning algorithms, Machine learning, Vector quantization, Vectors, Functional-link network, Generalized learning vector quantization, Hyperdimensional computing, Learning Vector Quantization, Least Square, Neural-networks, Random vector functional link network, Random vectors, Randomly connected neural network, Simple++, Efficiency

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-68294

المؤلفون: Ren, Chao, Xu, Yan, Zhang, Yuchen, Hu, Chunchao

المصدر: Proceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM)

مصطلحات موضوعية: Dynamic security assessment, Ensemble learning, Extreme learning machine, Optimization, Random vector functional link network

Relation: Ren, Chao, Xu, Yan, Zhang, Yuchen, & Hu, Chunchao (2018) A Multiple Randomized Learning based Ensemble Model for Power System Dynamic Security Assessment. In Proceedings of the 2018 IEEE Power & Energy Society General Meeting (PESGM). Institute of Electrical and Electronics Engineers Inc., United States of America.; https://eprints.qut.edu.au/245878/

الاتاحة: https://eprints.qut.edu.au/245878/

المؤلفون: Tianyou Chai, Xiaoping Ma, Qi-xin Chen, Fei Chu, Wei Dai

المصدر: IEEE Access, Vol 5, Pp 16162-16172 (2017)

مصطلحات موضوعية: production quality index, 0209 industrial biotechnology, General Computer Science, Computer science, Multivariate random variable, random vector functional link network (RVFLN), Kernel density estimation, robustness, 02 engineering and technology, computer.software_genre, Machine learning, 020901 industrial engineering & automation, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Complex industrial process, business.industry, General Engineering, Nonparametric statistics, nonparametric kernel density estimation, regularization, Data set, Outlier, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, Data mining, business, lcsh:TK1-9971, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f492303bc0244e9e9fb4c3b0d9b9fd6f
https://doi.org/10.1109/access.2017.2737459

المؤلفون: Zhang, Yongshan, Wu, Jia, Cai, Zhihua, Du, Bo, Yu, Philip S.

المصدر: Zhang , Y , Wu , J , Cai , Z , Du , B & Yu , P S 2019 , ' An unsupervised parameter learning model for RVFL neural network ' , Neural Networks , vol. 112 , pp. 85-97 . https://doi.org/10.1016/j.neunet.2019.01.007

مصطلحات موضوعية: Autoencoder, Classification applications, Pre-trained parameters, Random vector functional link network, Randomized feedforward neural networks, ℓ -norm regularization

الاتاحة: https://researchers.mq.edu.au/en/publications/e783a71d-4b02-4ebb-821a-89f234227e78
https://doi.org/10.1016/j.neunet.2019.01.007
http://www.scopus.com/inward/record.url?scp=85061381215&partnerID=8YFLogxK

المؤلفون: Dash, P.K., Satpathy, H.P., Swain, D.P., Liew, A.C.

المساهمون: ELECTRICAL ENGINEERING

المصدر: Scopus

مصطلحات موضوعية: Electric load forecasting, Load prediction, Random vector functional-link network

Relation: Dash, P.K.,Satpathy, H.P.,Swain, D.P.,Liew, A.C. (1997). New approach to daily and peak load predictions using a random vector functional-link network. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications 5 (1) : 11-19. ScholarBank@NUS Repository.; http://scholarbank.nus.edu.sg/handle/10635/80793; NOT_IN_WOS

الاتاحة: http://scholarbank.nus.edu.sg/handle/10635/80793

المؤلفون: Park, Gwang Hoon

مصطلحات موضوعية: Density based random vector functional link network (DBRVFLN), Neural network

الاتاحة: http://rave.ohiolink.edu/etdc/view?acc_num=case1061911553