Mobile QR Code QR CODE

2024

Acceptance Ratio

21%

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2025-02 (Vol.14 No.01)
  4. 10.5573/IEIESPC.2025.14.1.33
XML PDF INFO REF

REFERENCES

1 
M. L. Manuel, E. S. Antonio, A. I. Juan, et al., ``Network untrusion detection based on extended RBF neural network with offline reinforcement learning,'' IEEE Access, vol. 9, pp. 153153-153170, 2021.DOI
2 
H. Wu, Y.-P. Zhao, and H.-J. Tan, ``Novel radial basis function network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns,'' Journal of Aerospace Engineering, vol. 34, no. 4, 2021.DOI
3 
X. Zheng, Y. Zhang, H. Zhang, et al., ``An RBF neural network–based dynamic virtual network embedding algorithm,'' Concurrency and Computation: Practice and Experience, vol. 31, no. 23, 2019.DOI
4 
Y. P. Goh, C. S. Tan, P. W. Cheah, et al., ``Reducing the complexity of an adaptive radial basis function network with a histogram algorithm,'' Neural Computing and Applications, vol. 28, no. 1s, pp. 365-378, 2017.DOI
5 
X. Zheng, Y. Zhang, H. Zhang, et al,. ``An RBF neural network–based dynamic virtual network embedding algorithm,'' Concurrency and Computation: Practice and Experience, vol. 31, no. 23, 2019.DOI
6 
] A. Guillé, H. Pomares, I. Rojas, et al., ``Studying possibility in a clustering algorithm for RBFNN design for function approximation,'' Neural Computing and Applications, vol. 17, no. 1, pp. 75-89, 2008.DOI
7 
J. H. McGrew, J. K. Johannesen, M. E. Griss, D. L. Born, and C. H. Katuin, ``Performance-based funding of supported employment for persons with severe mental illness: Vocational rehabilitation and employment staff perspectives,'' The Hournal of Behavioral Health Services Research, vol. 34, no. 1, pp. 1-16, 2007.DOI
8 
L. Beatrice, R. Stuart, R. Antonio, et al., ``The association between hope and employment among individuals with multiple sclerosis: A hierarchical logistic regression model,'' Work (Reading, Mass.), vol. 74, no. 2, pp. 531-538, 2022.DOI
9 
F. Doménech-Betoret, A. Gómez-Artiga, and L. Abellán-Roselló, ``The educational situation quality model: A new tool to explain and improve academic achievement and course satisfaction,'' Frontiers in Psychology, 101692, 2019.DOI
10 
G. Revell, D. O'Brien, H. J. McGrew , et al., ``Performance-based funding of supported employment: A multi-sitecontrolled trial,'' Journal of Vocational Rehabilitation, vol. 23, no. 2, pp. 81-99, 2005.DOI
11 
A. M. Shokouhi, M. Sadeghi, and R. Asadi, ``Analysis, modeling and optimization of regional development in Sistan Balochestan combining labor market, shift-share and genetic algorithm models,'' Management Science Letters, vol. 3, no. 1, pp. 281-290, 2013.DOI
12 
Y. Wang and D. Yang, ``The design of psychological education intervention system in universities based on deep learning,'' Computational Intelligence and Neuroscience, 20229208172-9208172, 2022.DOI
13 
S. M. Dol and P. M. Jawandhiya, ``Classification technique and its combination with clustering and association rule mining in educational data mining - A survey,'' Engineering Applications of Artificial Intelligence, 122, 2023DOI
14 
M. Amini, J. Rezaeenour, and E. Hadavandi, ``A neural network ensemble classifier for effective intrusion detection using fuzzy clustering and radial basis function networks,'' International Journal on Artificial Intelligence Tools, vol. 25, no. 2, 2016.DOI
15 
M. Siddique and P. S. Mishra, ``Prophecy of stock price of Bharat immunological biological corporation Ltd using hybrid ANN and PSO model,'' Journal of Economics, Management and Trade, pp. 27-35, 2021.DOI
16 
W. Li, ``An association mining method based on LSTM algorithm for massive online news hotspots,'' Computer Informatization and Mechanical System, vol. 6, no. 6, pp. 115-119, 2023.DOI
17 
K. D. Ramakrishna, I. D. Verma, I. Goyal, et al., ``Artificial intelligence: Future employment projections,'' Journal of Critical Reviews, vol. 7, no. 5, 2020.URL
18 
F. Petry and R. Yager, ``Data mining using association rules for intuitionistic fuzzy data,'' Information, vol. 14, no. 7, 2023DOI
19 
R. A. G. Locateli and E. A. S. D. Antunes, ``Short-term relation between air pollutants and hospitalizations for respiratory diseases: Analysis by temporal association rules,'' Environmental Monitoring and Assessment, vol. 195, no. 7, 2023.DOI
20 
F. Iztok, F. Iztok, F. Dusan, et al., ``A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas,'' Expert Systems with Applications, 233, 2023.DOI
21 
W. Yu, F. Zhao, Z. Ren, D. Jin, X. Yang, and X. Zhang, ``Mining attention distribution paradigm: Discover gaze patterns and their association rules behind the visual image,'' Computer Methods and Programs in Biomedicine, 230, 2023.DOI
22 
A. Abdirahman and P. Marek, ``Quantum algorithm for mining frequent patterns for association rule mining,'' Journal of Quantum Information Science, vol. 13, no. 1, 2023.DOI
23 
A. A. A. Dahab, M. R. Haggag, A. A. S. Fotouh, ``Enhancing customer relationship management using fuzzy association rules and the evolutionary genetic algorithm,'' International Journal of Advanced Computer Science and Applications (IJACSA), vol. 14, no. 4, 2023.DOI
24 
K. Biresh, R. Sharmistha, S. Anurag, et al., ``E-commerce website usability analysis using the association rule mining and machine learning algorithm,'' Mathematics, vol. 11, no. 1, 2022.DOI
25 
Z. Jintan, ``Discussion on redundant processing algorithm of association rules based on hypergraph in data mining,'' Journal of Robotics, 2022.DOI
26 
M. A. Hogo, ``The design of academic programs using rough set association rule mining,'' Applied Computational Intelligence and Soft Computing, 2022.DOI
27 
A. C. Faiyaz, P. Shahrear, A. R. Shamim, et al., ``Comparison of different radial basis function networks for the electrical impedance tomography (EIT) inverse problem,'' Algorithms, vol. 16, no. 10, 2023.DOI
28 
J. He, Y. Dong, J. Wnag, and Y. li, ``Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation,'' Energy Conversion and Management, vol. 95, 2015.DOI
29 
U. Ravale, N. Marathe, and P. Padiya, ``Feature selection based hybrid anomaly intrusion detection system using K means and RBF kernel function,'' Procedia Computer Science, vol. 45, 2015.DOI
30 
Z. Huang and F. Liu, ``Prediction model of college student’s entrepreneurship ability based on artificial intelligence and fuzzy logic model,'' Journal of Intelligent Fuzzy Systems, vol. 40, no. 2, 2021.DOI
31 
K. Pang, S. Li, Y. Lu, N. Kang, L. Zou, and M. Lu, ``Association rule mining with fuzzy linguistic information based on attribute partial ordered structure,'' Soft Computing, vol. 27, no. 23, pp. 135-148, 2023.DOI
32 
G. R. S. Husain, ``Apriori algorithm based approach for improving QoS and SLA guarantee in IaaS clouds using pattern-based service-oriented architecture,'' SN Computer Science, vol. 4, no. 5, 2023.DOI
33 
P. Yadav, ``Association rule mining in big datasets using improved cuckoo search algorithm,'' Cybernetics and Systems, vol. 54, no. 6, pp. 787-808, 2023.DOI