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

1, 2023

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Gaussian mixture models for training Bayesian convolutional neural networks

Evolutionary intelligence, 2024, Vol.17 (4), p.2515-2536

2024

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Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks

Progress in artificial intelligence, 2022, Vol.11 (3), p.269-278

2022

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Training feedforward neural network via multiobjective optimization model using non-smooth L 1 / 2 regularization

Neurocomputing (Amsterdam), 2020-10, Vol.410, p.1-11

2020

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Sparse smooth group L 0 ∘ L 1 / 2 regularization method for convolutional neural networks

Knowledge-based systems, 2024-01, Vol.284, p.111327, Article 111327

2024

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Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network

Soft computing (Berlin, Germany), 2019-07, Vol.23 (13), p.4815-4825

2019

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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

Progress in artificial intelligence, 2022-09, Vol.11 (3), p.269-278

2022

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New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo

Evolving systems, 2020-12, Vol.11 (4), p.661-671

2020

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Multilayer Perceptron: Architecture Optimization and Training

International journal of interactive multimedia and artificial intelligence, 2016-09, Vol.4 (1), p.26

2016

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Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization

Neurocomputing (Amsterdam), 2020-10, Vol.410, p.1-11

2020

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Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization

Evolving systems, 2024-08, Vol.15 (4), p.1503-1519

2024

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Implicitly adaptive optimal proposal in variational inference for Bayesian learning

International journal of data science and analytics, 2024-06

2024

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New Prior Model for Bayesian Neural Networks Learning and Application to Classification of Tissues in Mammographic Images

Lecture Notes in Real-Time Intelligent Systems, p.143-153

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Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions

International journal of information systems in the service sector, 2019-10, Vol.11 (4), p.21-34

2019

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Convergence and Parameters Setting of Continuous Hopfield Neural Networks Applied to Image Restoration Problem

Artificial Intelligence and Industrial Applications, 2020, Vol.1193, p.351-369

2020

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Multilayer Perceptron: NSGA II for a New Multi-objective Learning Method for Training and Model Complexity

Lecture Notes in Real-Time Intelligent Systems, p.154-167

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Multilayer Perceptron: Architecture Optimization and Training

International journal of interactive multimedia and artificial intelligence, 2016-09, Vol.4 (1), p.26-30

2016

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

2023

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Genetic algorithm for neural network architecture optimization

2016 3rd International Conference on Logistics Operations Management (GOL), 2016, p.1-4

2016

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Learning Sparse Fully Connected Layers in Convolutional Neural Networks

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.183-200

2023

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Genetic Algorithm for CNN Architecture Optimization

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.86-97

2023

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A Review of Variational Inference for Bayesian Neural Network

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.231-243

2023

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Part of Speech Tagging of Amazigh Language as a Very Low-Resourced Language: Particularities and Challenges

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.172-182

2023

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Using ANN-MLP for Supervised Classification of the Hercynian Granitoids from Their Geochemical Chara Teristics at the Aouli Pluton. (High Moulouya, Morrocco)

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.438-446

2023

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The Impact of Systolic Blood Pressure Level and Comparative Study for Predicting Cardiovascular Diseases

Artificial Intelligence and Industrial Applications, 2023, Vol.772, p.108-122

2023

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

Gaussian mixture models for training Bayesian convolutional neural networks

Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks

Training feedforward neural network via multiobjective optimization model using non-smooth L 1 / 2 regularization

Sparse smooth group L 0 ∘ L 1 / 2 regularization method for convolutional neural networks

Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network

Convergence of batch gradient algorithm with smoothing composition of group $$l_{0}$$ and $$l_{1/2}$$ regularization for feedforward neural networks

New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo

Multilayer Perceptron: Architecture Optimization and Training

Training feedforward neural network via multiobjective optimization model using non-smooth L1/2 regularization

Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization

Implicitly adaptive optimal proposal in variational inference for Bayesian learning

New Prior Model for Bayesian Neural Networks Learning and Application to Classification of Tissues in Mammographic Images

Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions

Convergence and Parameters Setting of Continuous Hopfield Neural Networks Applied to Image Restoration Problem

Multilayer Perceptron: NSGA II for a New Multi-objective Learning Method for Training and Model Complexity

Multilayer Perceptron: Architecture Optimization and Training

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

Genetic algorithm for neural network architecture optimization

Learning Sparse Fully Connected Layers in Convolutional Neural Networks

Genetic Algorithm for CNN Architecture Optimization

A Review of Variational Inference for Bayesian Neural Network

Part of Speech Tagging of Amazigh Language as a Very Low-Resourced Language: Particularities and Challenges

Using ANN-MLP for Supervised Classification of the Hercynian Granitoids from Their Geochemical Chara Teristics at the Aouli Pluton. (High Moulouya, Morrocco)

The Impact of Systolic Blood Pressure Level and Comparative Study for Predicting Cardiovascular Diseases

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