Výsledky vyhledávání - "batch gradient algorithm"

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

Získat plný text

Convergence of batch gradient algorithm with smoothing composition of group l0 and l1/2 regularization for feedforward neural networks Autor 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…”
Získat plný text

Deterministic convergence analysis for regularized long short-term memory and its application to regression and multi-classification problems Autor 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…”
Získat plný text

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks Autor 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…”
Získat plný text

Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks Autor Zhang, Huisheng, Zhang, Ying, Zhu, Shuai, Xu, Dongpo

“…This paper investigates the fully complex mini-batch gradient algorithm for training complex-valued neural networks…”
Získat plný text

L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis Autor 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…”
Získat plný text

Convergence of a Batch Gradient Algorithm with Adaptive Momentum for Neural Networks Autor Gaofeng Zheng, Dongpo Xu, Hongmei Shao

Získat plný text

An online self-organizing radial basis function neural network based on Gaussian Membership Autor 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…”
Získat plný text

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks Autor 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…”
Získat plný text

An Algebraic Approach to the Identification of Linear Continuous Systems Using Laguerre Networks Autor 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…”
Získat plný text

A recurrent sigma pi sigma neural network Autor 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…”
Získat plný text

Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm Autor 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…”
Získat plný text

Performance Optimization and Interpretability of Recurrent Sigma-Pi-Sigma Neural Networks on Application of IoE Data Autor Deng, Fei, Zhang, Liqing

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