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Journal Articles
- 2024
[j98]Huiyu Cui, Lifang Zhang
, Hufang Yang, Jianzhou Wang, Zhenkun Liu:
Correction: Maximizing the lender's profit: profit-oriented loan default prediction based on a weighting model. Ann. Oper. Res. 341(2): 1335-1336 (2024)- [j97]ShiWen Wang, Jianzhou Wang, Bo Zeng, Weigang Zhao:
A structure for predicting wind speed using fuzzy granulation and optimization techniques. Appl. Intell. 54(5): 3859-3883 (2024) - [j96]Yang Zhao, Jianzhou Wang, Tong Niu, Ying Wang, Mengzheng Lv:
A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer. Appl. Intell. 54(23): 12037-12066 (2024) - [j95]Peiqi Sun, Zhenkun Liu, Jianzhou Wang, Weigang Zhao:
Interval forecasting for wind speed using a combination model based on multiobjective artificial hummingbird algorithm. Appl. Soft Comput. 150: 111090 (2024) - [j94]Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, Yannan Yu, Jingjiang Liu:
A combined interval prediction system based on fuzzy strategy and neural network for wind speed. Appl. Soft Comput. 155: 111408 (2024) - [j93]Yurui Xia, Jianzhou Wang, Ziyuan Zhang, Danxiang Wei, Zhining Cao, Zhiwu Li:
A wind speed point-interval fuzzy forecasting system based on data decomposition and multiobjective optimizer. Appl. Soft Comput. 165: 112084 (2024) - [j92]Lei Gu, Jianzhou Wang, Jingjiang Liu:
A combined system based on data preprocessing and optimization algorithm for electricity load forecasting. Comput. Ind. Eng. 191: 110114 (2024) - [j91]Shoujiang Li, Jianzhou Wang, Hui Zhang, Yong Liang:
Solar photovoltaic power forecasting system with online manner based on adaptive mode decomposition and multi-objective optimization. Comput. Electr. Eng. 118: 109407 (2024) - [j90]Jingjiang Liu, Jianzhou Wang, Yunbo Niu, Boqian Ji, Lei Gu:
A point-interval wind speed forecasting system based on fuzzy theory and neural networks architecture searching strategy. Eng. Appl. Artif. Intell. 132: 107906 (2024) - [j89]Zhining Cao, Jianzhou Wang, Yurui Xia:
Combined electricity load-forecasting system based on weighted fuzzy time series and deep neural networks. Eng. Appl. Artif. Intell. 132: 108375 (2024) - [j88]Yao Dong, He Jiang, Yunting Guo, Jianzhou Wang:
A novel crude oil price forecasting model using decomposition and deep learning networks. Eng. Appl. Artif. Intell. 133: 108111 (2024) - [j87]Bo Zeng, Tingting Zheng, Xiaozeng Xu, Jianzhou Wang:
A novel structure grey prediction model with strong compatibility and its application in forecasting the annual average concentration of particulate matter in Beijing. Eng. Appl. Artif. Intell. 136: 108974 (2024) - [j86]Jianzhou Wang, Yuanyuan Shao, He Jiang, Yining An:
A multi-variable hybrid system for port container throughput deterministic and uncertain forecasting. Expert Syst. Appl. 237(Part B): 121546 (2024) - [j85]Kang Wang, Yanru Liu, Qianyi Xing, Yuansheng Qian, Jianzhou Wang, Mengzheng Lv:
An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation. Expert Syst. Appl. 241: 122351 (2024) - [j84]Xinyu Wang, Jianzhou Wang, Xinsong Niu, Chunying Wu:
Novel wind-speed prediction system based on dimensionality reduction and nonlinear weighting strategy for point-interval prediction. Expert Syst. Appl. 241: 122477 (2024) - [j83]Jianzhou Wang, Xinsong Niu, Lifang Zhang, Zhenkun Liu, Xiaojia Huang:
A wind speed forecasting system for the construction of a smart grid with two-stage data processing based on improved ELM and deep learning strategies. Expert Syst. Appl. 241: 122487 (2024) - [j82]Yan Hao, Xiaodi Wang, Jianzhou Wang, Wendong Yang:
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market. Expert Syst. Appl. 244: 122912 (2024) - [j81]Jialu Gao, Jianzhou Wang, Yilin Zhou, Mengzheng Lv, Danxiang Wei:
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done? Expert Syst. Appl. 244: 122924 (2024) - [j80]Qianyi Xing, Xiaojia Huang, Jianzhou Wang, Shuai Wang:
A novel multivariate combined power load forecasting system based on feature selection and multi-objective intelligent optimization. Expert Syst. Appl. 244: 122970 (2024) - [j79]Mengzheng Lv, Jianzhou Wang, Shuai Wang, Jialu Gao, Honggang Guo:
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III. Inf. Sci. 670: 120549 (2024) - [j78]Haipeng Zhang, Jianzhou Wang, Ying Nie:
A novel optimization model based on fuzzy time series for short-term Air Quality Index forecasting. Knowl. Based Syst. 296: 111905 (2024) - [j77]Haipeng Zhang, Jianzhou Wang, Qiwei Li:
Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM. Signal Image Video Process. 18(2): 1249-1258 (2024) - 2023
- [j76]Shoujiang Li, Jianzhou Wang, Hui Zhang, Yong Liang:
Short-term load forecasting system based on sliding fuzzy granulation and equilibrium optimizer. Appl. Intell. 53(19): 21606-21640 (2023) - [j75]Yurui Xia, Jianzhou Wang, Ziyuan Zhang, Danxiang Wei, Li Yin:
Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps. Appl. Soft Comput. 135: 110037 (2023) - [j74]Jianzhou Wang, Kang Wang, Zhiwu Li, Haiyan Lu, He Jiang:
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization. Appl. Soft Comput. 146: 110692 (2023) - [j73]Zhining Cao, Jianzhou Wang, Li Yin, Danxiang Wei, Yiyao Xiao:
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution. Appl. Soft Comput. 149(Part B): 111007 (2023) - [j72]Yuhuan Sun, Jiao Ding, Zhenkun Liu, Jianzhou Wang:
Combined forecasting tool for renewable energy management in sustainable supply chains. Comput. Ind. Eng. 179: 109237 (2023) - [j71]Yurui Xia, Jianzhou Wang, Danxiang Wei, Ziyuan Zhang:
Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting. Eng. Appl. Artif. Intell. 119: 105776 (2023) - [j70]Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, Yurui Xia:
An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting. Eng. Appl. Artif. Intell. 123(Part A): 106273 (2023) - [j69]Yuyang Gao, Ping Li, Hufang Yang, Jianzhou Wang:
A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series. Eng. Appl. Artif. Intell. 126: 106986 (2023) - [j68]Jianzhou Wang, Honggang Guo, Aiyi Song:
Photovoltaic power combination prediction system based on improved multi-objective optimization algorithm and nonlinear weighting strategy. Expert Syst. J. Knowl. Eng. 40(3) (2023) - [j67]Zhenkun Liu, Ping Li, Danxiang Wei, Jianzhou Wang, Lifang Zhang, Xinsong Niu:
Forecasting system with sub-model selection strategy for photovoltaic power output forecasting. Earth Sci. Informatics 16(1): 287-313 (2023) - [j66]Jianzhou Wang, Qiwei Li, Haipeng Zhang, Ying Wang:
A deep-learning wind speed interval forecasting architecture based on modified scaling approach with feature ranking and two-output gated recurrent unit. Expert Syst. Appl. 211: 118419 (2023) - [j65]Lifang Zhang, Jianzhou Wang, Zhenkun Liu:
What should lenders be more concerned about? Developing a profit-driven loan default prediction model. Expert Syst. Appl. 213(Part): 118938 (2023) - [j64]Jianzhou Wang, Mengzheng Lv, Zhiwu Li, Bo Zeng:
Multivariate selection-combination short-term wind speed forecasting system based on convolution-recurrent network and multi-objective chameleon swarm algorithm. Expert Syst. Appl. 214: 119129 (2023) - [j63]Jianzhou Wang, Yilin Zhou, He Jiang:
A novel interval forecasting system based on multi-objective optimization and hybrid data reconstruct strategy. Expert Syst. Appl. 217: 119539 (2023) - [j62]Qianyi Xing, Jianzhou Wang, He Jiang, Kang Wang:
Research of a novel combined deterministic and probabilistic forecasting system for air pollutant concentration. Expert Syst. Appl. 228: 120117 (2023) - [j61]Ping Jiang, Zhenkun Liu, Lifang Zhang, Jianzhou Wang:
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization. Expert Syst. Appl. 228: 120354 (2023) - [j60]Mengzheng Lv, Jianzhou Wang, Xinsong Niu, Haiyan Lu:
A newly combination model based on data denoising strategy and advanced optimization algorithm for short-term wind speed prediction. J. Ambient Intell. Humaniz. Comput. 14(7): 8271-8290 (2023) - [j59]Jiatong Liu, Jianzhou Wang, Shuai Wang, Weigang Zhao:
Wind speed point prediction and interval prediction method based on linear prediction model, neural network, and deep learning. J. Ambient Intell. Humaniz. Comput. 14(7): 9207-9216 (2023) - [j58]Wenhao Zhou, Bo Zeng, You Wu, Jianzhou Wang, Hailin Li, Zhiwei Zhang:
Application of the three-parameter discrete direct grey model to forecast China's natural gas consumption. Soft Comput. 27(6): 3213-3228 (2023) - [j57]Tong Niu, Jianzhou Wang, Pei Du, Wendong Yang:
WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning. IEEE Trans. Ind. Informatics 19(11): 11252-11264 (2023) - 2022
- [j56]Jianzhou Wang, Rui Wang, Zhiwu Li:
A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration. Appl. Soft Comput. 114: 108034 (2022) - [j55]Jianzhou Wang, Haipeng Zhang, Hua Luo:
Research on the construction of stock portfolios based on multiobjective water cycle algorithm and KMV algorithm. Appl. Soft Comput. 115: 108186 (2022) - [j54]Xinsong Niu, Jianzhou Wang, Lifang Zhang:
Carbon price forecasting system based on error correction and divide-conquer strategies. Appl. Soft Comput. 118: 107935 (2022) - [j53]Ping Jiang, Zhenkun Liu, Lifang Zhang, Jianzhou Wang:
Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation. Appl. Soft Comput. 118: 108544 (2022) - [j52]Yuyang Gao, Jianzhou Wang, Xiaobo Zhang, Ranran Li:
Ensemble wind speed prediction system based on envelope decomposition method and fuzzy inference evaluation of predictability. Appl. Soft Comput. 124: 109010 (2022) - [j51]Jianzhou Wang, Ying Wang, Zhiwu Li, Hongmin Li, Hufang Yang:
Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution. Expert Syst. Appl. 191: 116345 (2022) - [j50]Jianzhou Wang, Yuyang Gao:
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting. Expert Syst. Appl. 198: 116934 (2022) - [j49]Jianzhou Wang, Lifang Zhang, Zhenkun Liu, Xinsong Niu:
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization. Expert Syst. Appl. 201: 117201 (2022) - [j48]Jianzhou Wang, Haipeng Zhang, Qiwei Li, Aini Ji:
Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting. Expert Syst. Appl. 209: 118384 (2022) - [j47]Dong Li, Li Yin, Jianzhou Wang, Naiqi Wu:
Game current-state opacity formulation in probabilistic resource automata. Inf. Sci. 613: 96-113 (2022) - [j46]Hongmin Li, Jianzhou Wang, Hufang Yang, Ying Wang:
Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction. Knowl. Based Syst. 237: 107789 (2022) - [j45]Yan Hao, Yilin Zhou, Jialu Gao, Jianzhou Wang:
A Novel Air Pollutant Concentration Prediction System Based on Decomposition-Ensemble Mode and Multi-Objective Optimization for Environmental System Management. Syst. 10(5): 139 (2022) - 2021
- [j44]Jianzhou Wang, Zishu Cheng:
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization. Appl. Soft Comput. 113(Part): 107848 (2021) - [j43]Jianzhou Wang, Lifang Zhang, Chen Wang, Zhenkun Liu:
A regional pretraining-classification-selection forecasting system for wind power point forecasting and interval forecasting. Appl. Soft Comput. 113(Part): 107941 (2021) - [j42]Jianzhou Wang, Hongmin Li, Ying Wang, Haiyan Lu:
A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm. Expert Syst. Appl. 168: 114364 (2021) - [j41]Zhenkun Liu, Ping Jiang, Jianzhou Wang, Lifang Zhang:
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm. Expert Syst. Appl. 177: 114974 (2021) - [j40]Jianzhou Wang, Jochen Lang:
Visual Multi-Face Tracking Applied to Council Proceedings. IEEE Instrum. Meas. Mag. 24(3): 78-84 (2021) - [j39]Qiwei Li, Jianzhou Wang, Haipeng Zhang:
A wind speed interval forecasting system based on constrained lower upper bound estimation and parallel feature selection. Knowl. Based Syst. 231: 107435 (2021) - [j38]Pei Du, Jianzhou Wang, Tong Niu, Wendong Yang:
PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China. Knowl. Based Syst. 233: 107487 (2021) - [j37]Tong Niu, Jianzhou Wang, Haiyan Lu, Wendong Yang, Pei Du:
A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price. IEEE Trans. Ind. Informatics 17(7): 4602-4612 (2021) - 2020
- [j36]He Bo, Ying Nie, Jianzhou Wang:
Electric Load Forecasting Use a Novelty Hybrid Model on the Basic of Data Preprocessing Technique and Multi-Objective Optimization Algorithm. IEEE Access 8: 13858-13874 (2020) - [j35]Tongji Guo, Lifang Zhang, Zhenkun Liu, Jianzhou Wang:
A Combined Strategy for Wind Speed Forecasting Using Data Preprocessing and Weight Coefficients Optimization Calculation. IEEE Access 8: 33039-33059 (2020) - [j34]Xiaohui He, Ying Nie, Hengliang Guo, Jianzhou Wang:
Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting. IEEE Access 8: 51482-51499 (2020) - [j33]Wendong Yang, Jianzhou Wang, Tong Niu, Pei Du:
A novel system for multi-step electricity price forecasting for electricity market management. Appl. Soft Comput. 88: 106029 (2020) - [j32]Jianzhou Wang, Tong Niu, Pei Du, Wendong Yang:
Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price. Appl. Soft Comput. 95: 106509 (2020) - [j31]Pei Du, Jianzhou Wang, Yan Hao, Tong Niu, Wendong Yang:
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Appl. Soft Comput. 96: 106620 (2020) - [j30]Jianzhou Wang, Xinsong Niu, Zhenkun Liu, Lifang Zhang:
Analysis of the influence of international benchmark oil price on China's real exchange rate forecasting. Eng. Appl. Artif. Intell. 94: 103783 (2020) - [j29]Tong Niu, Jianzhou Wang, Haiyan Lu, Wendong Yang, Pei Du:
Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting. Expert Syst. Appl. 148: 113237 (2020) - 2019
- [j28]Lifang Zhang, Yao Dong, Jianzhou Wang:
Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy. IEEE Access 7: 176000-176023 (2019) - [j27]He Bo, Xinsong Niu, Jianzhou Wang:
Wind Speed Forecasting System Based on the Variational Mode Decomposition Strategy and Immune Selection Multi-Objective Dragonfly Optimization Algorithm. IEEE Access 7: 178063-178081 (2019) - [j26]Pei Du, Jianzhou Wang, Wendong Yang, Tong Niu:
A novel hybrid model for short-term wind power forecasting. Appl. Soft Comput. 80: 93-106 (2019) - [j25]Ling Xiao, Chen Wang, Yunxuan Dong, Jianzhou Wang:
A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information. Inf. Sci. 486: 310-339 (2019) - [j24]Tao Ma, Chen Wang, Jianzhou Wang, Jianjun Cheng, Xiaoyun Chen:
Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China. Inf. Sci. 505: 157-182 (2019) - [j23]Pei Du, Jianzhou Wang, Wendong Yang, Tong Niu:
Container throughput forecasting using a novel hybrid learning method with error correction strategy. Knowl. Based Syst. 182 (2019) - 2018
- [j22]Yunxuan Dong, Jianzhou Wang, Zhen-hai Guo:
Research and application of local perceptron neural network in highway rectifier for time series forecasting. Appl. Soft Comput. 64: 656-673 (2018) - [j21]Xiaobo Zhang, Jianzhou Wang:
A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns. Appl. Soft Comput. 65: 478-494 (2018) - [j20]Jianzhou Wang, Hongmin Li, Haiyan Lu:
Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China. Appl. Soft Comput. 71: 783-799 (2018) - [j19]Jianzhou Wang, Pei Du, Haiyan Lu, Wendong Yang, Tong Niu:
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting. Appl. Soft Comput. 72: 321-337 (2018) - 2017
- [j18]Qianru Wang, Li Liu, Shu Wang, Jianzhou Wang, Ming Liu:
Predicting Beijing's tertiary industry with an improved grey model. Appl. Soft Comput. 57: 482-494 (2017) - [j17]Wendong Yang, Jianzhou Wang, Rui Wang:
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting. Entropy 19(2): 52 (2017) - [j16]Jianzhou Wang, Xiaobo Zhang, Zhen-hai Guo, Haiyan Lu:
Developing an early-warning system for air quality prediction and assessment of cities in China. Expert Syst. Appl. 84: 102-116 (2017) - [j15]Dingqi Yan, Qi Zhou, Jianzhou Wang, Na Zhang:
Bayesian regularisation neural network based on artificial intelligence optimisation. Int. J. Prod. Res. 55(8): 2266-2287 (2017) - [j14]Tao Ma, Fen Wang, Jianzhou Wang, Yukai Yao, Xiaoyun Chen:
A combined model based on seasonal autoregressive integrated moving average and modified particle swarm optimization algorithm for electrical load forecasting. J. Intell. Fuzzy Syst. 32(5): 3447-3459 (2017) - 2016
- [j13]Jianzhou Wang, Feng Liu, Yiliao Song, Jing Zhao:
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system. Appl. Soft Comput. 48: 281-297 (2016) - [j12]Jianzhou Wang, Ru Hou, Chen Wang, Lin Shen:
Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting. Appl. Soft Comput. 49: 164-178 (2016) - [j11]Li Liu, Qianru Wang, Jianzhou Wang, Ming Liu:
A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction. Comput. Intell. 32(3): 391-419 (2016) - 2015
- [j10]Xing Lu, Jianzhou Wang, Yuan Cai, Jing Zhao:
Distributed HS-ARTMAP and its forecasting model for electricity load. Appl. Soft Comput. 32: 13-22 (2015) - 2014
- [j9]Jujie Wang, Wenyu Zhang, Yaning Li, Jianzhou Wang, Zhangli Dang:
Forecasting wind speed using empirical mode decomposition and Elman neural network. Appl. Soft Comput. 23: 452-459 (2014) - [j8]Jujie Wang, Wenyu Zhang, Jianzhou Wang, Tingting Han, Lingbin Kong:
A novel hybrid approach for wind speed prediction. Inf. Sci. 273: 304-318 (2014) - [j7]Chao Ren, Ning An, Jianzhou Wang, Lian Li, Bin Hu, Duo Shang:
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting. Knowl. Based Syst. 56: 226-239 (2014) - 2013
- [j6]Wenyu Zhang, Jujie Wang, Jianzhou Wang, Zengbao Zhao, Meng Tian:
Short-term wind speed forecasting based on a hybrid model. Appl. Soft Comput. 13(7): 3225-3233 (2013) - 2011
- [j5]Jianzhou Wang, Suling Zhu, Weigang Zhao, Wenjin Zhu:
Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm. Expert Syst. Appl. 38(7): 8151-8158 (2011) - [j4]Jianzhou Wang, Dezhong Chi, Jie Wu, Haiyan Lu:
Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting. Expert Syst. Appl. 38(7): 8419-8429 (2011) - [j3]Jianli Dong, Ningguo Shi, Jianzhou Wang:
Research and Application on Multi-Layer Matter-Element Extension Synthesis Evaluation Method for Software Quality. J. Softw. 6(9): 1866-1872 (2011) - [j2]Zhen-hai Guo, Jie Wu, Haiyan Lu, Jianzhou Wang:
A case study on a hybrid wind speed forecasting method using BP neural network. Knowl. Based Syst. 24(7): 1048-1056 (2011) - 2005
- [j1]Jianzhou Wang, Zhixin Ma, Lian Li:
Detection, mining and forecasting of impact load in power load forecasting. Appl. Math. Comput. 168(1): 29-39 (2005)
Conference and Workshop Papers
- 2009
- [c7]Wenyu Zhang, Jinxing Che, Jianzhou Wang, Jinzhao Liang:
Prediction by Integration of Phase Space Reconstruction and a Novel Evolutionary System under Deregulated Power Market. WKDD 2009: 733-736 - 2008
- [c6]Jianzhou Wang, Jinxing Che, Jinzhao Liang, Haiyan Lu:
Research on Real Estate Early Warning System Based on Decision Tree and Fuzzy Recognition Theory. FSKD (3) 2008: 414-418 - [c5]Xuejun Chen, Jianzhou Wang, Donghuai Sun, Jinzhao Liang:
Time Series Forecasting Based on Novel Support Vector Machine Using Artificial Fish Swarm Algorithm. ICNC (2) 2008: 206-211 - [c4]Wenyu Zhang, Jinzhao Liang, Jianzhou Wang, Jinxing Che:
Chaotic Time Series Forecasting Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training. ICYCS 2008: 3022-3027 - [c3]Jianli Dong, Jianzhou Wang, Donghuai Sun, Haiyan Lu:
The Research of Software Product Line Engineering Process and Its Integrated Development Environment Model. ISCSCT (1) 2008: 66-71 - [c2]Liman Zhang, Haiming Wang, Jinzhao Liang, Jianzhou Wang:
Decision Support in Cancer Base on Fuzzy Adaptive PSO for Feedforward Neural Network Training. ISCSCT (1) 2008: 220-223 - [c1]Jianli Dong, Haiyang Chen, Jianzhou Wang, Donghuai Sun:
Sandstorm Occurrence Frequency Short-Term Prediction Based on Bootstrap Method. ISICA 2008: 571-580
Informal and Other Publications
- 2024
- [i3]Xiaoqing Zhang, Xiuying Chen, Yuhan Liu, Jianzhou Wang, Zhenxing Hu, Rui Yan:
LLM-Driven Agents for Influencer Selection in Digital Advertising Campaigns. CoRR abs/2403.15105 (2024) - [i2]Qi Dong, Rubing Huang, Chenhui Cui, Dave Towey, Ling Zhou, Jinyu Tian, Jianzhou Wang:
Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey. CoRR abs/2408.16202 (2024) - 2019
- [i1]Pei Du, Jianzhou Wang, Yan Hao, Tong Niu, Wendong Yang:
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. CoRR abs/1905.13550 (2019)
Coauthor Index
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