On the origins of randomization-based feedforward neural networks

An unsupervised parameter learning model for RVFL neural network

(2019) Yongshan Zhang et al.   NEURAL NETWORKS

Letter: On non-iterative learning algorithms with closed-form solution

(2018) Ponnuthurai Nagaratnam Suganthan   APPLIED SOFT COMPUTING

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning

(2018) Chi Man Wong et al.   IEEE Transactions on Neural Networks and Learning Systems

Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

(2018) C. L. Philip Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Design of deep echo state networks

(2018) Claudio Gallicchio et al.   NEURAL NETWORKS

Stochastic Configuration Networks: Fundamentals and Algorithms

(2017) Dianhui Wang et al.   IEEE Transactions on Cybernetics

Visual Tracking With Convolutional Random Vector Functional Link Network

(2017) Le Zhang et al.   IEEE Transactions on Cybernetics

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting

(2017) Ling Tang et al.   APPLIED SOFT COMPUTING

A comprehensive evaluation of random vector functional link networks

(2016) Le Zhang et al.   INFORMATION SCIENCES

Random vector functional link network for short-term electricity load demand forecasting

(2016) Ye Ren et al.   INFORMATION SCIENCES

A survey of randomized algorithms for training neural networks

(2016) Le Zhang et al.   INFORMATION SCIENCES

Extreme Learning Machine for Multilayer Perceptron

(2016) Jiexiong Tang et al.   IEEE Transactions on Neural Networks and Learning Systems

The No-Prop algorithm: A new learning algorithm for multilayer neural networks

(2012) Bernard Widrow et al.   NEURAL NETWORKS

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Comments on "The Extreme Learning Machine

(2008) L.P. Wang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS