Abstract -
The present work investigates an appropriate algorithm based on Multilayer Perceptron Neural Network (MPNN), Apriori association rules and Particle Swarm Optimization (PSO) models for predicting two significant core safety parameters; the multiplication factor Keff and the power peaking factor Pmax of the benchmark 10 MW IAEA LEU research reactor. It provides a comprehensive analytic method for establishing an Artificial Neural Network (ANN) with selforganizing architecture by finding an optimal number of hidden layers and their neurons, a less number of effective features of data set and the most appropriate topology for internal connections. The performance of the proposed algorithm is evaluated using the 2-Dimensional neutronic diffusion code MUDICO-2D to obtain the data required for the training of the neural networks. Simulation results demonstrate the effectiveness and the notability of the proposed algorithm comparing with Trainlm-LM, quasi- Newton (Trainbfg-BFGS), and Resilient Propagation (trainrp- RPROP) algorithms.
Saber, A., El-Koliel, M., El-Rashidy, M., & Taha, T. (2016). Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks. The International Conference on Electrical Engineering, 10(10th International Conference on Electrical Engineering ICEENG 2016), 1-7. doi: 10.21608/iceeng.2016.30311
MLA
Amany S. Saber; Moustafa S. El-Koliel; Mohamed A. El-Rashidy; Taha E. Taha. "Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks", The International Conference on Electrical Engineering, 10, 10th International Conference on Electrical Engineering ICEENG 2016, 2016, 1-7. doi: 10.21608/iceeng.2016.30311
HARVARD
Saber, A., El-Koliel, M., El-Rashidy, M., Taha, T. (2016). 'Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks', The International Conference on Electrical Engineering, 10(10th International Conference on Electrical Engineering ICEENG 2016), pp. 1-7. doi: 10.21608/iceeng.2016.30311
VANCOUVER
Saber, A., El-Koliel, M., El-Rashidy, M., Taha, T. Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks. The International Conference on Electrical Engineering, 2016; 10(10th International Conference on Electrical Engineering ICEENG 2016): 1-7. doi: 10.21608/iceeng.2016.30311
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