Hai-Jun Rong

Artificial Intelligence · 2006–2009

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #13,843 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #18,864 of 21,575 by trust here, #18,782 by citations

Whom Hai-Jun Rong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. G. Huang
2. Nikola K. Kasabov
3. Plamen Parvanov Angelov
4. Shiqian Wu
5. Dimitar Filev
6. Usama M. Fayyad
7. Paramasivan Saratchandran
8. Narasimhan Sundararajan
9. Nan-Ying Liang
10. Meng Joo Er

Who trusts Hai-Jun Rong overall

1. G. Huang
2. Shuang Feng
3. Gao Huang
4. Edwin David Lughofer
5. J. J. Rubio
6. C. Chen
7. Yoan Miché
8. Shiji Song
9. Dianhui Wang
10. Shifei Ding

Papers from Hai-Jun Rong's perspective

Ordered by how strongly the researchers Hai-Jun Rong trusts endorse each paper. Same corpus, a different order for every researcher.

1. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction (IEEE transactions on fuzzy systems)
2. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
3. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
4. Dynamic fuzzy neural networks-a novel approach to function approximation (IEEE Trans. Syst. Man Cybern. Part B)
5. Extreme learning machine: Theory and applications
6. An approach to online identification of Takagi-Sugeno fuzzy models (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
7. On the "Identification and control of dynamical systems using neural networks"
8. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
9. Neuro-fuzzy rule generation: survey in soft computing framework (IEEE Trans. Neural Networks Learn. Syst.)
10. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction (Fuzzy Sets Syst.)

Their papers

• Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems (2009) — 339 citations
• A fast pruned-extreme learning machine for classification problem (2008) — 367 citations
• Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction (2006) — 364 citations