Grid-based large-scale Web3D collaborative virtual environment
Proceedings of the twelfth international conference on 3D web technology
Letters: Convex incremental extreme learning machine
Neurocomputing
Universal Approximation and QoS Violation Application of Extreme Learning Machine
Neural Processing Letters
Ensembling Extreme Learning Machines
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Real-time neuro-fuzzy digital filtering: basic concepts
WSEAS Transactions on Systems and Control
Evolutive neural fuzzy filtering: real time constrains
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
QoS-aware roadside base station assisted routing in vehicular networks
Engineering Applications of Artificial Intelligence
Error minimized extreme learning machine with growth of hidden nodes and incremental learning
IEEE Transactions on Neural Networks
Engineering Applications of Artificial Intelligence
Evolutive neural fuzzy filtering: an approach
WSEAS Transactions on Systems and Control
Constructive approximation to multivariate function by decay RBF neural network
IEEE Transactions on Neural Networks
Ordinal extreme learning machine
Neurocomputing
An intelligent fast sales forecasting model for fashion products
Expert Systems with Applications: An International Journal
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
A scalable pipelined architecture for real-time computation of MLP-BP neural networks
Microprocessors & Microsystems
A sparse infrastructure of wavelet network for nonparametric regression
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Neural network generalized inverse of multi-motor synchronous system working on vector control mode
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
A new automatic target recognition system based on wavelet extreme learning machine
Expert Systems with Applications: An International Journal
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
A novel approach to protein structure prediction using PCA or LDA based extreme learning machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Neural networks letter: Comments on the "No-Prop" algorithm
Neural Networks
Aircraft recognition using modular extreme learning machine
Neurocomputing
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In some practical applications of neural networks, fast response to external events within an extremely short time is highly demanded and expected. However, the extensively used gradient-descent-based learning algorithms obviously cannot satisfy the real-time learning needs in many applications, especially for large-scale applications and/or when higher generalization performance is required. Based on Huang's constructive network model, this paper proposes a simple learning algorithm capable of real-time learning which can automatically select appropriate values of neural quantizers and analytically determine the parameters (weights and bias) of the network at one time only. The performance of the proposed algorithm has been systematically investigated on a large batch of benchmark real-world regression and classification problems. The experimental results demonstrate that our algorithm can not only produce good generalization performance but also have real-time learning and prediction capability. Thus, it may provide an alternative approach for the practical applications of neural networks where real-time learning and prediction implementation is required.