桂林理工大学5177棋牌主页平台管理系统 艾武-5177棋牌

代表性论文

1. qiu w, ai w*, chen h, et al. decentralized federated learning for industrial iot with deep echo state networks[j]. ieee transactions on industrial informatics, 2023, 19(4): 5849-5857. 【if 12.3，sci 中科院1区，top期刊】

2. liang j, ai w*, chen h, et al. communication-efficient decentralized elastic-net broad learning system based on quantized and censored communications[j]. applied soft computing, 2023, 134: 109999.【if 8.7，sci 中科院1区，top期刊】 

3. ai w, wang d*. distributed stochastic configuration networks with cooperative learning paradigm[j]. information sciences, 2020, 540: 1-16.【if 8.1，sci 中科院1区，top期刊】

4. ai w, chen w*, xie j. a general framework for population-based distributed optimization over networks[j]. information sciences, 2017, 418: 136-152.【if 8.1，sci 中科院1区，top期刊】

5. ai w, chen w*, xie j. a zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights[j]. information sciences, 2016, 373: 404-418.【if 8.1，sci 中科院1区，top期刊】

期刊论文

1. yujun zhou, wu ai*, guoqiang tang, huazhou chen. distributed sparse learning for stochastic configuration networks via alternating direction method of multipliers.  applied intelligence , 2023, 53: 23522–23537. (sci, if=5.3, 中科院 2 区) 
   

2. wenqi qiu, wu ai*, huazhou chen, quanxi feng, guoqiang tang. decentralized federated learning for industrial iot with deep echo state networks.  ieee transactions on industrial informatics , 2023, 19(4): 5849--5857. (sci, if=12.3, 中科院 1 区 top)

3. huazhou chen, xiaorong li, fangxiu meng, wu ai, qinyong lin, ken cai*. a decision tree network with semi-supervised entropy learning strategy for spectroscopy aided detection of blood hemoglobin.  spectrochimica acta part a: molecular and biomolecular spectroscopy , 2023, 291: 122354. (sci, if=4.4, 中科院 2 区)   

4. jinyan liang, wu ai*, huazhou chen, guoqiang tang. communication-efficient decentralized elastic-net broad learning system based on quantized and censored communications.  applied soft computing , 2023, 134: 109999. (sci, if=8.7, 中科院 1 区 top)    

5. peiyuan jin, jianming cen, quanxi feng*, wu ai, huazhou chen, hanli qiao. differential evolution with the mutation strategy transformation based on a quartile for numerical optimization.  applied intelligence, 2023. (sci, if=5.3, 中科院 2 区)

6. chunting li, huazhou chen*, youyou zhang, shaoyong hong, wu ai, lina mo. improvement of nir prediction ability by dual model optimization in fusion of nsia and sa methods.  spectrochimica acta part a: molecular and biomolecular spectroscopy , 2022, 276: 121247. (sci, if=4.4, 中科院 2 区) 

7. yujun zhou, xiaowen ge, wu ai*. communication-censored distributed learning for stochastic configuration networks.  international journal of intelligence science , 2022, 12(02): 21--37   

8. ken cai, huazhou chen*, wu ai, xuexue miao, qinyong lin, quanxi feng. feedback convolutional network for intelligent data fusion based on near-infrared collaborative iot technology.  ieee transactions on industrial informatics , 2022, 18(2): 1200--1209. (sci, if=12.3, 中科院 1 区 top)   

9. shuling li, wu ai*, jian wu, quanxi feng. a fixed-time distributed algorithm for least square solutions of linear equations.  international journal of control, automation and systems, 2021, 19(3): 1311-1318. (sci, if=3.2, 中科院 3 区)

10. wu ai, dianhui wang*. distributed stochastic configuration networks with cooperative learning paradigm.  information sciences, 2020, 540: 1-16. (sci, if=8.1, 中科院 1 区 top)    

11. huazhou chen, lili xu, wu ai, bin lin, quanxi feng, ken cai*. kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy.  science of the total environment, 2020, 724: 136765. (sci, if=9.8, 中科院 1 区 top)

12. jin xie, weisheng chen, hao dai*, sanyang liu, wu ai. a distributed cooperative learning algorithm based on zero-gradient-sum strategy using radial basis function network.  neurocomputing, 2019, 323: 244--255. (sci, if=6.0, 中科院 2 区 top)    

13. xu zhang, jian wu*, wu ai, jing li. adaptive neural control with prespecified tracking accuracy for a class of switched systems subject to input delay.  complexity, 2019, 6920372. 

14. huazhou chen, zhenyao liu, jie gu, wu ai, jiangbei wen, ken cai*. quantitative analysis of soil nutrition based on ft-nir spectroscopy integrated with bp neural deep learning.  analytical methods, 2018, 10(41): 5004--5013. 

15. wu ai, weisheng chen*, shaoyong hua. distributed cooperative learning for a group of uncertain systems via output feedback and neural networks.  journal of the franklin institute-engineering and applied mathematics, 2018, 355(5): 2536--2561.

16. wu ai, weisheng chen*, jin xie. distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme.  neurocomputing, 2017, 224: 184--194. (sci, if=6.0, 中科院 2 区 top) 

17. wu ai, weisheng chen*, jin xie. a general framework for population-based distributed optimization over networks.  information sciences, 2017, 418: 136--152. (sci, if=8.1, 中科院 1 区 top)

18. wu ai, weisheng chen*, jin xie. a zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights.  information sciences, 2016, 373: 404--418. (sci, if=8.1, 中科院 1 区 top)

19. huazhou chen, guoqiang tang, wu ai, lili xu, ken cai*. use of random forest in ftir analysis of ldl cholesterol and tri-glycerides for hyperlipidemia.  biotechnology progress, 2015, 31(6): 1693--1702. 

20. huazhou chen*, wu ai, quanxi feng, guoqiang tang. ft-mir modelling enhancement for the quantitative determination of haemoglobin in human blood by combined optimization of grid-search lssvr algorithm with different pre-processing modes.  analytical methods, 2015, 7(6): 2869--2876.

21. anhui gu*, wu ai. random attractor for stochastic lattice dynamical systems with alpha-stable levy noises.  communications in nonlinear science and numerical simulation, 2014, 19(5): 1433--1441. (sci, if=3.9, 中科院 2 区 top)   

22. huazhou chen*, wu ai, quanxi feng, zhen jia, qiqing song. ft-nir spectroscopy and whittaker smoother applied to joint analysis of duel-components for corn.  spectrochimica acta part a-molecular and biomolecular spectroscopy, 2014, 118: 752--759. (sci, if=4.4, 中科院 2 区)

23. huazhou chen*, guoqiang tang, qiqing song, wu ai. combination of modified optical path length estimation and correction and moving window partial least squares to waveband selection for the fourier transform near-infrared determination of pectin in shaddock peel.  analytical letters, 2013, 46(13): 2060--2074.

会议论文

1. jinyan liang, wu ai*. distributed broad learning system with quantized and censored communications.  2021 china automation congress (cac) , ieee, 2021.10.22-10.24, beijing, china

2. manrui zhou, wu ai*. distributed reduced kernel extreme learning machine.  2021 china automation congress (cac) , ieee, 2021.10.22-10.24, beijing, china  

3. wenqi qiu, wu ai*. a decentralized algorithm for deep echo state networks.  2021 china automation congress (cac) , ieee, 2021.10.22-10.24, beijing, china 

4. shuling li, wu ai*, xiaowen ge. fixed-time distributed cooperative learning for stochastic configuration networks.  2020 chinese automation congress (cac) ,2020.11.6-11.8, shanghai, china  

5. yujun zhou, wu ai*. admm-based sparse distributed learning for stochastic configuration networks.  2020 chinese automation congress (cac) ,2020.11.6-11.8, shanghai, china

6. xiaowen ge, wu ai*, yujun zhou. distributed event-triggered learning for stochastic configuration networks.  2020 chinese automation congress (cac) ,2020.11.6-11.8, shanghai, china

7. wu ai*, shuling li, jian wu, huazhou chen, quanxi feng, bin lin. parallel training for large-scale echo state networks via alternating direction method of multipliers.  2019 chinese automation congress (cac), 2019.11.22-11.24, hangzhou, china, 2019, pp. 350-355.   

8. wu ai*, shuling li, jian wu, quanxi feng. a fixed-time distributed algorithm for least square solutions of linear equations.  2019 31th chinese control and decision conference (ccdc), 2019.6.3-6.5, nanchang, china   

9. shuling li, wu ai*, jian wu. self-triggered distributed optimization for multi-agent systems with periodic sampling schemes.  2018 chinese automation congress (cac), 2018.11.30-12.2, xian, china 

10. xiaoli yang, jing li*, wu ai, jian wu. adaptive control design for a class of switched uncertain nonlinear systems with known tracking accuracy.  2017 chinese automation congress (cac), 2017.10.20-10.22, jinan, china

11. wu ai*, jian wu, minggang dong.  a distributed particle swarm optimization algorithm over directed graphs.  2017 chinese automation congress (cac), 2017.10.20-10.22, jinan, china