相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Fast and Efficient Second-Order Method for Training Radial Basis Function Networks
Tiantian Xie et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)
An efficient self-organizing RBF neural network for water quality prediction
Hong-Gui Han et al.
NEURAL NETWORKS (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm
Honggui Han et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2010)
Neural-Network-Based Low-Speed-Damping Controller for Stepper Motor With an FPGA
Quy Ngoc Le et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)
A Neural-Network-Identifier and Fuzzy-Controller-Based Algorithm for Dynamic Decoupling Control of Permanent-Magnet Spherical Motor
Changliang Xia et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)
Disturbance and Friction Compensations in Hard Disk Drives Using Neural Networks
Chow Yin Lai et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)
A Hierarchical RBF Online Learning Algorithm for Real-Time 3-D Scanner
Stefano Ferrari et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Constructive Approximation to Multivariate Function by Decay RBF Neural Network
Muzhou Hou et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Neural Network Learning without Backpropagation
Bogdan M. Wilamowski et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Improved Computation for Levenberg-Marquardt Training
Bogdan M. Wilamowski et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
A REPAIR ALGORITHM FOR RADIAL BASIS FUNCTION NEURAL NETWORK AND ITS APPLICATION TO CHEMICAL OXYGEN DEMAND MODELING
Qiao Jun-Fei et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2010)
Neural Network Architectures and Learning Algorithms
Bogdan M. Wilamowski
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2009)
ANN-Based Adaptive Control of Robotic Manipulators With Friction and Joint Elasticity
Hicham Chaoui et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2009)
Neural-Network-Based Terminal Sliding-Mode Control of Robotic Manipulators Including Actuator Dynamics
Liangyong Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2009)
A Growing and Pruning Method for Radial Basis Function Networks
M. Bortman et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
Symmetric complex-valued RBF receiver for multiple-antenna-aided wireless systems
Shenq Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
Enhanced random search based incremental extreme learning machine
Guang-Bin Huang et al.
NEUROCOMPUTING (2008)
Convex incremental extreme learning machine
Guang-Bin Huang et al.
NEUROCOMPUTING (2007)
Universal approximation using incremental constructive feedforward networks with random hidden nodes
Guang-Bin Huang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
An incremental training method for the probabilistic RBF network
Constantinos Constantinopoulos et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
Learning methods for radial basis function networks
R Neruda et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2005)
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
GB Huang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)
A tutorial on support vector regression
AJ Smola et al.
STATISTICS AND COMPUTING (2004)
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks
GB Huang et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)
Effects of moving the centers in an RBF network
C Panchapakesan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
A new pruning heuristic based on variance analysis of sensitivity information
AP Engelbrecht
IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)