Artificial Intelligence and Industrial Applications: Algorithms, Techniques, and Engineering Applications von Masrour, Tawfik, Ramchoun, Hassan, Hajji, Tarik, Hosni, Mohamed

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Gaussian mixture models for training Bayesian convolutional neural networks von Mostafa, Bakhouya, Hassan, Ramchoun, Mohammed, Hadda, Tawfik, Masrour

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Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks von Ramchoun, Hassan, Ettaouil, Mohamed

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Training feedforward neural network via multiobjective optimization model using non-smooth L 1 / 2 regularization von Senhaji, Kaoutar, Ramchoun, Hassan, Ettaouil, Mohamed

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Sparse smooth group L 0 ∘ L 1 / 2 regularization method for convolutional neural networks von Quasdane, Mohamed, Ramchoun, Hassan, Masrour, Tawfik

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Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network von Ramchoun, Hassan, Ettaouil, Mohamed

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Convergence of batch gradient algorithm with smoothing composition of group $$l_{0}$$ and $$l_{1/2}$$ regularization for feedforward neural networks von Ramchoun, Hassan, Ettaouil, Mohamed

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New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo von Ramchoun, Hassan, Ettaouil, Mohamed

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Multilayer Perceptron: Architecture Optimization and Training von Ramchoun, Hassan, Idrissi, Mohammed Amine Janati, Ghanou, Youssef, Ettaouil, Mohamed

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Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization von Senhaji, Kaoutar, Ramchoun, Hassan, Ettaouil, Mohamed

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Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization von Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik

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Implicitly adaptive optimal proposal in variational inference for Bayesian learning von Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, Masrour, Tawfik

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New Prior Model for Bayesian Neural Networks Learning and Application to Classification of Tissues in Mammographic Images von Ramchoun, Hassan, Ettaouil, Mohamed

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Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions von Ramchoun, Hassan, Idrissi, Mohammed Amine Janati, Ghanou, Youssef, Ettaouil, Mohamed

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Convergence and Parameters Setting of Continuous Hopfield Neural Networks Applied to Image Restoration Problem von Nour-eddine, Joudar, Hassan, Ramchoun, En-Naimani, Zakariae, Mohamed, Ettaouil

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Multilayer Perceptron: NSGA II for a New Multi-objective Learning Method for Training and Model Complexity von Senhaji, Kaoutar, Ramchoun, Hassan, Ettaouil, Mohamed

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Multilayer Perceptron: Architecture Optimization and Training von Hassan Ramchoun, Mohammed Amine, Janati Idrissi, Youssef Ghanou, Mohamed Ettaouil

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Artificial Intelligence and Industrial Applications: Algorithms, Techniques, and Engineering Applications

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Genetic Algorithm for CNN Architecture Optimization von Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik

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Learning Sparse Fully Connected Layers in Convolutional Neural Networks von Quasdane, Mohamed, Ramchoun, Hassan, Masrour, Tawfik

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