Research Output per year
Personal profile
Education/Academic qualification
PhD, Northumbria University
Master, Northumbria University
Bachelor, Northumbria University
Fingerprint Dive into the research topics where Jie Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 4 Similar Profiles
Fuzzy inference
Engineering & Materials Science
Interpolation
Engineering & Materials Science
Fuzzy rules
Engineering & Materials Science
Intrusion detection
Engineering & Materials Science
Planning and Scheduling
Mathematics
Fuzzy sets
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Job Shop
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2016 2020
Adaptive Activation Function Generation Through Fuzzy Inference for Grooming Text Categorisation
Zuo, Z., Li, J., Wei, B., Yang, L., Fei, C. & Naik, N., 23 Jun 2019, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019 .Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Fuzzy inference
Chemical activation
Neurons
Deterioration
Genetic algorithms
A Study of TSK Inference Approaches for Control Problems
Li, J., Chao, F. & Yang, L., 3 Aug 2019, Lecture Notes in Computer Science : including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. Springer, Vol. 11743 LNAI. p. 195-207 Chapter 17. (Intelligent Robotics and Applications; vol. 11743).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Fuzzy inference
Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature
Zuo, Z., Li, J. & Yang, L., 30 Aug 2019, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Ju, Z., Zhou, D., Gegov, A., Yang, L. & Yang, C. (eds.). Springer-Verlag, p. 53-65 13 p. (Advances in Intelligent Systems and Computing; vol. 1043).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Interpolation
Fuzzy inference
An Extended Takagi-Sugeno-Kang Inference System (TSK+) with Fuzzy Interpolation and Its Rule Base Generation
Li, J., Yang, L., Qu, Y. & Sexton, G., 2018, In : Soft Computing. 22, 10, p. 3155-3170 16 p.Research output: Contribution to journal › Article
Open Access
File
Rule Base
Interpolation
Interpolate
Fuzzy inference
Fuzzy rules
Dendritic Cell Algorithm with Fuzzy Inference System for Input Signal Generation
Elisa, N., Li, J., Zuo, Z. & Yang, L., 11 Aug 2018, In : Advances in Computational Intelligence Systems. 840, p. 203-214Research output: Contribution to journal › Conference article
Fuzzy inference
Fuzzy rules
Intrusion detection
Dendritic Cells
Processing