Wei Wu 0010 - researchr alias

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Viewing Publication 1 - 15 from 15

2026

A complex-valued widening spiking neural networkFang Liu 0017, Witold Pedrycz, Qi Xu, Lijun Liu, Jialin Xu, Jie Yang 0007, Wei Wu 0010. NN, 200:108834, 2026. [doi]

2023

Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response FunctionFang Liu, Witold Pedrycz, Chao Zhang 0017, Jie Yang 0007, Wei Wu 0010. tfs, 31(12):4235-4248, December 2023. [doi]

2022

2020

Learning imbalanced datasets based on SMOTE and Gaussian distributionTingting Pan, Junhong Zhao, Wei Wu 0010, Jie Yang 0007. isci, 512:1214-1233, 2020. [doi]

Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification ProblemsSibo Yang, Chao Zhang 0017, Yuan Bao, Jie Yang 0007, Wei Wu 0010. npl, 52(1):153-167, 2020. [doi]

2019

Extreme learning machine with local connectionsFeng Li 0006, Jie Yang 0007, Mingchen Yao, Sibo Yang, Wei Wu 0010. ijon, 368:146-152, 2019. [doi]

1/2 Regularization for Pruning Hidden Layer Nodes of Feedforward Neural NetworksHabtamu Zegeye Alemu, Junhong Zhao, Feng Li 0006, Wei Wu 0010. access, 7:9540-9557, 2019. [doi]

A Genetic XK-Means Algorithm with Empty Cluster ReassignmentChun Hua, Feng Li 0006, Chao Zhang 0017, Jie Yang 0007, Wei Wu 0010. symmetry, 11(6):744, 2019. [doi]

Subspace Clustering Under Complex NoiseBaohua Li, Huchuan Lu, Ying Zhang 0021, Zhouchen Lin, Wei Wu 0010. tcsv, 29(3):930-940, 2019. [doi]

Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification ProblemsSibo Yang, Chao Zhang, Wei Wu 0010. access, 7:5085-5094, 2019. [doi]

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating DataJunhong Zhao, Maolin Shi, Gang Hua 0001, Xueguan Song, Chao Zhang 0017, Dacheng Tao, Wei Wu 0010. access, 7:66703-66713, 2019. [doi]

2018

1/2 Regularization Based on a Modified Secant Equation for Training Neural NetworksWenyu Li, Yan Liu 0015, Jie Yang 0007, Wei Wu 0010. npl, 48(2):955-978, 2018. [doi]

2015

Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk AnalysisYanpeng Qu, Changjing Shang, Qiang Shen 0001, Neil Mac Parthaláin, Wei Wu 0010. ijfs, 17(3):471-483, 2015. [doi]

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