Incremental backpropagation learning networks

  title={Incremental backpropagation learning networks},
  author={LiMin Fu and Hui-Huang Hsu and Jos{\'e} Carlos Pr{\'i}ncipe},
  journal={IEEE transactions on neural networks},
  volume={7 3},
How to learn new knowledge without forgetting old knowledge is a key issue in designing an incremental-learning neural network. In this paper, we present a new incremental learning method for pattern recognition, called the "incremental backpropagation learning network", which employs bounded weight modification and structural adaptation learning rules and applies initial knowledge to constrain the learning process. The viability of this approach is demonstrated for classification problems… CONTINUE READING
Highly Cited
This paper has 90 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 39 extracted citations

Wind Power Load Forecasting Based on Incremental BP Neural Network

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) • 2018
View 1 Excerpt

A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol

2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB) • 2015
View 1 Excerpt

An Intelligent Tool for ANN Based Power Factor Correction

2013 12th International Conference on Machine Learning and Applications • 2013
View 1 Excerpt

90 Citations

Citations per Year
Semantic Scholar estimates that this publication has 90 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 11 references

A neuralnetwork learning algorithm tailored for VLSI implementation

D. C. Kuncicky
IEEE Trans . Neural Networks • 1994

Learning internal representation by error propagation

G. E. Hinton, R. J. Williams
IEEE Trans . Neural Networks • 1991

Noordewier, “Refinement of approximate domain theories by knowledge-based neural networks,

G. G. Towell, J. W. Shavlik
in Proc. 8th Nat. Con$ ArtiJicial Intell., • 1990