{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T15:26:57Z","timestamp":1784561217991,"version":"3.55.0"},"reference-count":52,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T00:00:00Z","timestamp":1726358400000},"content-version":"vor","delay-in-days":258,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.054031","type":"journal-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T08:55:04Z","timestamp":1724316904000},"page":"4173-4196","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":4,"title":["A Complex Fuzzy LSTM Network for Temporal-Related Forecasting Problems"],"prefix":"10.32604","volume":"80","author":[{"given":"Nguyen Tho","family":"Thong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nguyen Van","family":"Quyet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cu Nguyen","family":"Giap","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nguyen Long","family":"Giang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luong Thi Hong","family":"Lan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119122","article-title":"Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks","volume":"642","author":"Bacanin","year":"2023","journal-title":"Inf. Sci."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.ins.2023.03.031","article-title":"Evolving long short-term memory neural network for wind speed forecasting","volume":"632","author":"Huang","year":"2023","journal-title":"Inf. Sci."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1049\/cit2.12139","article-title":"Research on trend prediction of component stock in fuzzy time series based on deep forest","volume":"7","author":"Li","year":"2022","journal-title":"CAAI Trans. Intell. Technol."},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.3390\/axioms11030107","article-title":"Rainpredrnn: A new approach for precipitation nowcasting with weather radar echo images based on deep learning","volume":"11","author":"Tuyen","year":"2022","journal-title":"Axioms"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1662","DOI":"10.1109\/ACCESS.2017.2779939","article-title":"LSTM fully convolutional networks for time series classification","volume":"6","author":"Karim","year":"2017","journal-title":"IEEE Access"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.neunet.2019.04.014","article-title":"Multivariate LSTM-FCNS for time series classification","volume":"116","author":"Karim","year":"2019","journal-title":"Neural Netw."},{"key":"ref7","doi-asserted-by":"crossref","first-page":"3127","DOI":"10.1109\/TNNLS.2019.2935975","article-title":"Unsupervised anomaly detection with LSTM neural networks","volume":"31","author":"Ergen","year":"2019","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.compind.2021.103498","article-title":"A survey on anomaly detection for technical systems using LSTM networks","volume":"131","author":"Lindemann","year":"2021","journal-title":"Comput. Ind."},{"key":"ref9","first-page":"1587","article-title":"Dombi-normalized weighted bonferroni mean operators with novel multiple-valued complex neutrosophic uncertain linguistic sets and their application in decision making","volume":"130","author":"Mahmood","year":"2022","journal-title":"Comput. Model. Eng. Sci."},{"key":"ref10","article-title":"An anp-topsis model for tourist destination choice problems under temporal neutrosophic environment","volume":"136","author":"Lan","year":"2023","journal-title":"Appl. Soft Omput."},{"key":"ref11","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.is.2015.04.007","article-title":"Time-series clustering\u2013A decade review","volume":"53","author":"Aghabozorgi","year":"2015","journal-title":"Inf. Syst."},{"key":"ref12","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1049\/cit2.12085","article-title":"Probabilistic time series forecasting with deep non-linear state space models","volume":"8","author":"Du","year":"2023","journal-title":"CAAI Trans. Intell. Technol."},{"key":"ref13","first-page":"2221","article-title":"Research on short-term load forecasting of distribution stations based on the clustering improvement fuzzy time series algorithm","volume":"136","author":"Gu","year":"2023","journal-title":"Comput. Model. Eng. Sci."},{"key":"ref14","article-title":"Arima model for accurate time series stocks forecasting","volume":"11","author":"Khan","year":"2020","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"ref15","unstructured":"S. Siami-Namini and A. S. Namin, \u201cForecasting economics and financial time series: ARIMA vs. LSTM,\u201d arXiv preprint arXiv:1803.06386, 2018."},{"key":"ref16","series-title":"2016 Artif. Intell. Robot. (IRANOPEN)","article-title":"Time series forecasting using improved ARIMA","author":"Mehrmolaei","year":"2016"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1016\/j.ins.2023.01.122","article-title":"Develop a multi-linear-trend fuzzy information granule based short-term time series forecasting model with k-medoids clustering","volume":"629","author":"Li","year":"2023","journal-title":"Inf. Sci."},{"key":"ref18","unstructured":"A. Borovykh, S. Bohte, and C. W. Oosterlee, \u201cConditional time series forecasting with convolutional neural networks,\u201d arXiv preprint arXiv:1703.04691, 2017."},{"key":"ref19","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1016\/j.ins.2021.12.001","article-title":"A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting","volume":"586","author":"Cast\u00e1n-Lascorz","year":"2022","journal-title":"Inf. Sci."},{"key":"ref20","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.ins.2019.08.023","article-title":"Network traffic forecasting model based on long-term intuitionistic fuzzy time series","volume":"506","author":"Fan","year":"2020","journal-title":"Inf. Sci."},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2020.110121","article-title":"Deep learning methods for forecasting COVID-19 time-series data: A comparative study","volume":"140","author":"Zeroual","year":"2020","journal-title":"Chaos, Solit. Fractals"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.ins.2023.01.095","article-title":"A time series attention mechanism based model for tourism demand forecasting","volume":"628","author":"Dong","year":"2023","journal-title":"Inf. Sci."},{"key":"ref23","first-page":"922","article-title":"Attention based spatial-temporal graph convolutional networks for traffic flow forecasting","volume":"33","author":"Guo","year":"2019","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"ref24","first-page":"81","article-title":"Channel attention-based spatial-temporal graph neural networks for traffic prediction","volume":"58","author":"Wang","year":"2024","journal-title":"Data Technol. App."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1109\/TNNLS.2020.2985720","article-title":"LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns","volume":"32","author":"Bandara","year":"2020","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12652-020-02761-x","article-title":"Improving time series forecasting using LSTM and attention models","volume":"13","author":"Abbasimehr","year":"2022","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref27","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1016\/j.procs.2018.07.298","article-title":"A multivariate fuzzy time series resource forecast model for clouds using LSTM and data correlation analysis","volume":"126","author":"Tran","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2021.103920","article-title":"A novel deep interval type-2 fuzzy LSTM (DIT2FLSTM) model applied to COVID-19 pandemic time-series prediction","volume":"123","author":"Safari","year":"2021","journal-title":"J. Biomed. Inform."},{"key":"ref29","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MIS.2022.3179843","article-title":"Fd-LSTM: A fuzzy LSTM model for chaotic time-series prediction","volume":"37","author":"Langeroudi","year":"2022","journal-title":"IEEE Intell. Syst."},{"key":"ref30","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TFUZZ.2003.814832","article-title":"Complex fuzzy logic","volume":"11","author":"Ramot","year":"2003","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref31","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TFUZZ.2019.2961350","article-title":"A new design of mamdani complex fuzzy inference system for multiattribute decision making problems","volume":"29","author":"Selvachandran","year":"2019","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref32","doi-asserted-by":"crossref","first-page":"164899","DOI":"10.1109\/ACCESS.2020.3021097","article-title":"A new complex fuzzy inference system with fuzzy knowledge graph and extensions in decision making","volume":"8","author":"Lan","year":"2020","journal-title":"IEEE Access"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1109\/TFUZZ.2012.2226890","article-title":"Complex neurofuzzy ARIMA forecasting new approach using complex fuzzy sets","volume":"21","author":"Li","year":"2012","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref34","series-title":"Frontiers of Higher Order Fuzzy Sets","first-page":"147","article-title":"Time-series forecasting via complex fuzzy logic","author":"Yazdanbakhsh","year":"2015"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.ijar.2018.10.018","article-title":"FANCFIS: Fast adaptive neuro-complex fuzzy inference system","volume":"105","author":"Yazdanbakhsh","year":"2019","journal-title":"Int. J. Approx. Reason."},{"key":"ref36","doi-asserted-by":"crossref","first-page":"39333","DOI":"10.1109\/ACCESS.2023.3268059","article-title":"Adaptive spatial complex fuzzy inference systems with complex fuzzy measures","volume":"11","author":"Giang","year":"2023","journal-title":"IEEE Access"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"ref38","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1109\/TFUZZ.2010.2096469","article-title":"ANCFIS: A neurofuzzy architecture employing complex fuzzy sets","volume":"19","author":"Chen","year":"2010","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref39","series-title":"Intell. Inform. Database Syst.: Third Int. Conf., ACI-IDS 2011","first-page":"242","article-title":"Complex fuzzy computing to time series prediction multi-swarm PSO learning approach","author":"Li","year":"2011"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s00354-011-0302-1","article-title":"Function approximation with complex neuro-fuzzy system using complex fuzzy sets-a new approach","volume":"29","author":"Li","year":"2011","journal-title":"New Gener. Comput."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"5","DOI":"10.7575\/aiac.ijaepr.v.1n.2p.5","article-title":"Complex neuro-fuzzy system for function approximation","volume":"1","author":"Shoorangiz","year":"2013","journal-title":"Int. J. Appl. Electron. Phys. Robot."},{"key":"ref42","first-page":"533","article-title":"Generation of fuzzy rules by a complex-valued neuro-fuzzy learning algorithm","volume":"27","author":"Hata","year":"2015","journal-title":"Intell. Inform."},{"key":"ref43","series-title":"2018 57th Annu. Conf. Soc. Instrum. Control Eng. Japan (SICE)","first-page":"1029","article-title":"Wind prediction performance of complex neural network with ReLU activation function","author":"Tachibana","year":"2018"},{"key":"ref44","series-title":"2017 IEEE Int. Conf. Image Process. (ICIP)","first-page":"3953","article-title":"Better than real: Complex-valued neural nets for MRI fingerprinting","author":"Virtue","year":"2017"},{"key":"ref45","series-title":"Neural Netw. Signal Process. X. Proc. 2000 IEEE Signal Process. Soc. Workshop (Cat. No. 00TH8501)","first-page":"231","article-title":"Fully complex backpropagation for constant envelope signal processing","volume":"1","author":"Kim","year":"2000"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"3771","DOI":"10.1016\/j.neucom.2009.06.004","article-title":"A new learning algorithm with logarithmic performance index for complex-valued neural networks","volume":"72","author":"Savitha","year":"2009","journal-title":"Neurocomputing"},{"key":"ref47","unstructured":"N. Guberman, \u201cOn complex valued convolutional neural networks,\u201d arXiv preprint arXiv:1602.09046, 2016."},{"key":"ref48","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s10916-008-9205-1","article-title":"A new approach to detection of ECG arrhythmias: Complex discrete wavelet transform based complex valued artificial neural network","volume":"33","author":"\u00d6zbay","year":"2009","journal-title":"J. Med. Syst."},{"key":"ref49","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1109\/78.127967","article-title":"On the complex backpropagation algorithm","volume":"40","author":"Benvenuto","year":"1992","journal-title":"IEEE Trans. Signal Process."},{"key":"ref50","series-title":"2014 Int. Joint Conf. Neural Netw. (IJCNN)","first-page":"2854","article-title":"Newton\u2019s method backpropagation for complex-valued holomorphic multilayer perceptrons","author":"La Corte","year":"2014"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1016\/S0893-6080(03)00168-0","article-title":"Solving the XOR problem and the detection of symmetry using a single complex-valued neuron","volume":"16","author":"Nitta","year":"2003","journal-title":"Neural Netw."},{"key":"ref52","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.1109\/78.134446","article-title":"The complex backpropagation algorithm","volume":"39","author":"Leung","year":"1991","journal-title":"IEEE Trans. Signal Process."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-80-3\/TSP_CMC_54031\/TSP_CMC_54031.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T01:41:11Z","timestamp":1741311671000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n3\/57883"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":52,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.054031","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-05-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-12","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}