位置：成果数据库 > 期刊 > 期刊详情页
A pruning algorithm with L1/2 regularizer for extreme learning machine
  • 期刊名称：Journal of Zhejiang University SCIENCE C
  • 时间：2014
  • 页码：119-125
  • 相关项目：前馈神经网络学习算法的设计与分析
作者： Wei Wu|Wen-yu Yang|Qin-wei Fan|Jian Wang|
同期刊论文项目
前馈神经网络学习算法的设计与分析
期刊论文 39 会议论文 8
同项目期刊论文
Is bias dispensable for fuzzy neural networks?
Convergence of gradient method with momentum for back-propagation neural networks
L-p approximation capability of RBF neural networks
Convergence of gradient method for Elman networks
A remark on the error-backpropagation learning algorithm for spiking neural networks
SOMO-m Optimization Algorithm with Multiple Winners
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough paralle
Extreme learning machine for interval neural networks
A Smoothing Interval Neural Network
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights
Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sig
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time
Convergence of approximated gradient method for Elman network
Training pi-sigma network by online gradient algorithm with penalty for small weight update
A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy m
An Iterative Algorithm for Motif Discovery
Negative effects of sufficiently small initialweights on back-propagation neural networks
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with
基于蚁群迭代算法的近似测地线计算
An algorithm for motif discovery with iteration on lengths of motifs
Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm
Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis
A parameter conjugate gradientmethod based on secant equation for unconstrained optimization
Convergence of online gradient method for feedforward neural networks with smoothing L 1/2 regulariz
Negative effects of sufficiently small initial weights on back-propagation neural networks
A pruning algorithm with L1/2 regularizer for extreme learning machine
A Modified Gradient-Based Neuro-Fuzzy Learning Algorithm for Pi-Sigma Network Based on First-Order Takagi-Sugeno System