Výsledky vyhľadávania - "batch gradient algorithm"

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…”
Získať 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. Mini-batch gradient method has been widely…”
Získať plný text

L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis Autor Yang, Dakun, Liu, Yan

“…Interval neural networks can easily address uncertain information, since they are capable of handling various kinds of uncertainties inherently which are…”
Získať 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…”
Získať 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…”
Získať plný text

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks Autor Zhang, Chao, Wu, Wei, Xiong, Yan

“…Sigma-Pi (Σ-Π) neural networks (SPNNs) are known to provide more powerful mapping capability than traditional feed-forward neural networks. A unified…”
Získať plný text