Search Results - "Batch gradient algorithm"

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

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

“…In this paper, we prove the convergence of batch gradient method for training feedforward neural network; we have proposed a new penalty term based on…”
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Deterministic convergence analysis for regularized long short-term memory and its application to regression and multi-classification problems by Kang, Qian, Yu, Dengxiu, Cheong, Kang Hao, Wang, Zhen

“…Long short-term memory (LSTM) is a recurrent neural network (RNN) framework designed to solve the gradient disappearance and explosion problems of traditional…”
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Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks by Shao, Hongmei, Xu, Dongpo, Zheng, Gaofeng

“…In this paper, a batch gradient algorithm with adaptive momentum is considered and a convergence theorem is presented when it is used for two-layer feedforward neural networks training…”
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Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks by Zhang, Huisheng, Zhang, Ying, Zhu, Shuai, Xu, Dongpo

“…This paper investigates the fully complex mini-batch gradient algorithm for training complex-valued neural networks…”
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L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis by Yang, Dakun, Liu, Yan

“… In this paper, a novel batch gradient algorithm with smoothing L1/2 regularization is proposed to prevent the weights oscillation for a smoothing interval neural network (SINN…”
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An online self-organizing radial basis function neural network based on Gaussian Membership by Jia, Lijie, Li, Wenjing, Qiao, Junfei, Zhang, Xinliang

“…Radial basis function neural network (RBFNN) is one of the most popular neural networks, and an appropriate selection of its structure and learning algorithms…”
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Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks by Zhang, Chao, Wu, Wei, Xiong, Yan

“… A unified convergence analysis for the batch gradient algorithm for SPNN learning is presented, covering three classes of SPNNs: Σ-Π-Σ, Σ-Σ-Π and Σ-Π-Σ-Π…”
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Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks by Gaofeng Zheng, Dongpo Xu, Hongmei Shao

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An Algebraic Approach to the Identification of Linear Continuous Systems Using Laguerre Networks by Pender, Antonia, Kasac, Josip, Brezak, Danko, Benic, Juraj

“…This paper presents an algebraic approach to linear continuous system identification using Laguerre networks. The proposed approach provides an indirect…”
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A recurrent sigma pi sigma neural network by Deng, Fei, Liang, Shibin, Qian, Kaiguo, Yu, Jing, Li, Xuanxuan

“… The batch gradient algorithm is used to train the RSPSNN to search for the optimal weights based on the minimal mean squared error (MSE…”
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Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm by Berhane Niguse, Kifle

“… But with prediction, they tend to over-fit samples and simplify poorly to new, undetected data. This paper presents a batch gradient algorithm for predicting the rice of land with large datasets…”
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Performance Optimization and Interpretability of Recurrent Sigma-Pi-Sigma Neural Networks on Application of IoE Data by Deng, Fei, Zhang, Liqing

“…), trained using a batch gradient algorithm enhanced with smoothing L1 lasso regularization and an adaptive momentum term…”
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