Neural network behavior analysis based on transfer functions MLP & RB in face recognition
| Autor: | Oguz Bayat, Abdulbasit Alazzawi, Tareq Abed Mohammed, Osman N. Ucan |
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| Přispěvatelé: | Uçan, Osman Nuri, Bayat, Oğuz, Mohammed, Tareq Abed, Alazzawi, Abdulbasit |
| Rok vydání: | 2018 |
| Předmět: |
Basis (linear algebra)
Artificial neural network Computer science business.industry Neural Network Preprocessing Edge Detection 020206 networking & telecommunications Pattern recognition 02 engineering and technology Perceptron Face Recognition Facial recognition system Transfer function Machine Learning Data set ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Preprocessor 020201 artificial intelligence & image processing Artificial intelligence business Sigmoid transfer function |
| Zdroj: | Proceedings of the First International Conference on Data Science, E-learning and Information Systems. |
| DOI: | 10.1145/3279996.3280011 |
| Popis: | 1rst International Conference on Data Science, E-Learning and Information Systems (DATA) -- OCT 01-02, 2018 -- Univ Distancia Madrid, Madrid, SPAIN alazzawi, abdulbasit/0000-0001-9210-7080 WOS:000511409000015 We performed multi-layer perceptron neural networks MLPNN and Radial Basis neural networks RBNN. In the MLPNN, we applied three layers (input, Hidden, and output) with sigmoid transfer function. Similarly, we used RBNN. Both classifiers are used after preprocessing operations BIOID data set is used in training and testing phases to test the proposed face recognition system combinations. According to the experimental results, the proposed schemes achieved satisfactory results with high accuracy classification Int Assoc Researchers |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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