年単位の研究成果
Fingerprint Takayuki Furuzukiが取り組む研究トピックをご確認ください。これらのトピックラベルは、この人物の研究に基づいています。これらを共に使用することで、固有の認識が可能になります。
- 5 同様のプロファイル
Neural networks
Engineering & Materials Science
Nonlinear systems
Engineering & Materials Science
Network Programming
Mathematics
Support vector machines
Engineering & Materials Science
Reinforcement learning
Engineering & Materials Science
Genetic Network
Mathematics
Association rules
Engineering & Materials Science
Evolutionary algorithms
Engineering & Materials Science
ネットワーク
最近の共同研究。丸をクリックして詳細を確認しましょう。
研究成果 1985 2019
A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs
Cui, Y., Sun, Y., Furuzuki, T. & Sheng, G., 2019 1 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3057-3062 6 p. 8616515. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).研究成果: Conference contribution
Support vector machines
Ant colony optimization
Macros
Learning systems
Genes
Air quality forecasting using SVR with quasi-linear kernel
Zhu, H. & Hu, J., 2019 8, CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems. Obaidat, M. S., Mi, Z., Hsiao, K-F., Nicopolitidis, P. & Cascado-Caballero, D. (版). Institute of Electrical and Electronics Engineers Inc., 8862114. (CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems).研究成果: Conference contribution
Air quality
Air pollution
Linear networks
Binary sequences
Health
A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM
Liang, P., Yao, X. & Furuzuki, T., 2019 1 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1641-1646 6 p. 8616280. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).研究成果: Conference contribution
Distance Education
Learning
Neural networks
Linear networks
Classifiers
3
引用
(Scopus)
An autoencoder-based piecewise linear model for nonlinear classification using quasilinear support vector machines
Li, W., Liang, P. & Furuzuki, T., 2019 8 1, ： : IEEJ Transactions on Electrical and Electronic Engineering. 14, 8, p. 1236-1243 8 p.研究成果: Article
Support vector machines
Switches
Manual control
Classifiers
A Semi-supervised Classification Using Gated Linear Model
Ren, Y., Li, W. & Hu, J., 2019 7, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852099. (Proceedings of the International Joint Conference on Neural Networks; 巻数 2019-July).研究成果: Conference contribution
Linear regression
Supervised learning
Classifiers