Exploratory framework for analysing road traffic accident data with validation on Gauteng province data.
- Published in:
- Cogent Engineering, 2020, v. 7, n. 1, p. 1, doi. 10.1080/23311916.2020.1834659
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- Publication type:
- Article
Works matching AU Alexandridis, Alex
Results: 17
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Radial basis function neural network training using variable projection and fuzzy means.
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- Neural Computing & Applications, 2024, v. 36, n. 33, p. 21137, doi. 10.1007/s00521-024-10274-3
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- Publication type:
- Article
3
Chess Position Evaluation Using Radial Basis Function Neural Networks.
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- Complexity, 2023, p. 1, doi. 10.1155/2023/7143943
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- Publication type:
- Article
4
A comparative study on the use of the extended-Cauchy dispersion equation for fitting refractive index data in crystals.
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- Optical & Quantum Electronics, 2013, v. 45, n. 8, p. 837, doi. 10.1007/s11082-013-9687-z
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- Article
5
Nonlinear Adaptive Model Predictive Control Based on Self-Correcting Neural Network Models.
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- AIChE Journal, 2005, v. 51, n. 9, p. 2495, doi. 10.1002/aic.10505
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- Publication type:
- Article
6
Coverage and k-Coverage Optimization in Wireless Sensor Networks Using Computational Intelligence Methods: A Comparative Study.
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- Electronics (2079-9292), 2020, v. 9, n. 4, p. 675, doi. 10.3390/electronics9040675
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- Publication type:
- Article
7
Robot Motion Control via an EEG-Based Brain–Computer Interface by Using Neural Networks and Alpha Brainwaves.
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- Electronics (2079-9292), 2019, v. 8, n. 12, p. 1387, doi. 10.3390/electronics8121387
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- Publication type:
- Article
8
EVOLVING RBF NEURAL NETWORKS FOR ADAPTIVE SOFT-SENSOR DESIGN.
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- International Journal of Neural Systems, 2013, v. 23, n. 6, p. 1, doi. 10.1142/S0129065713500299
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- Article
9
VARIABLE SELECTION IN NONLINEAR MODELING BASED ON RBF NETWORKS AND EVOLUTIONARY COMPUTATION.
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- International Journal of Neural Systems, 2010, v. 20, n. 5, p. 365, doi. 10.1142/S0129065710002474
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- Article
10
A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models.
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- Sensors (14248220), 2024, v. 24, n. 24, p. 8006, doi. 10.3390/s24248006
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- Publication type:
- Article
11
A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.
- Published in:
- Sensors (14248220), 2023, v. 23, n. 12, p. 5436, doi. 10.3390/s23125436
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- Publication type:
- Article
12
Multi-Ship Control and Collision Avoidance Using MPC and RBF-Based Trajectory Predictions.
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- Sensors (14248220), 2021, v. 21, n. 21, p. 6959, doi. 10.3390/s21216959
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- Publication type:
- Article
13
An Inverse Neural Controller Based on the Applicability Domain of RBF Network Models.
- Published in:
- Sensors (14248220), 2018, v. 18, n. 1, p. 315, doi. 10.3390/s18010315
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- Publication type:
- Article
14
Tracking Method for Alpine Skiing Based on Hybrid Deep Learning and Evolutionary Chimp Optimization Algorithm.
- Published in:
- Complexity, 2025, v. 2025, p. 1, doi. 10.1155/cplx/6829161
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- Publication type:
- Article
15
Forecasting Forex Market Volatility Using Deep Learning Models and Complexity Measures.
- Published in:
- Journal of Risk & Financial Management, 2024, v. 17, n. 12, p. 557, doi. 10.3390/jrfm17120557
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- Publication type:
- Article
16
Modeling and Control of continuous digesters using the PLS methodology.
- Published in:
- Chemical Engineering Communications, 2004, v. 191, n. 10, p. 1271, doi. 10.1080/00986440490464192
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- Publication type:
- Article
17
A neural network approach for the prediction of the refractive index based on experimental data.
- Published in:
- Journal of Materials Science, 2012, v. 47, n. 2, p. 883, doi. 10.1007/s10853-011-5868-y
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- Publication type:
- Article