Generalized RLS approach to the training of neural networks

IEEE Transactions on Neural Networks
Yong XuChi-Sing Leung

Abstract

Recursive least square (RLS) is an efficient approach to neural network training. However, in the classical RLS algorithm, there is no explicit decay in the energy function. This will lead to an unsatisfactory generalization ability for the trained networks. In this paper, we propose a generalized RLS (GRLS) model which includes a general decay term in the energy function for the training of feedforward neural networks. In particular, four different weight decay functions, namely, the quadratic weight decay, the constant weight decay and the newly proposed multimodal and quartic weight decay are discussed. By using the GRLS approach, not only the generalization ability of the trained networks is significantly improved but more unnecessary weights are pruned to obtain a compact network. Furthermore, the computational complexity of the GRLS remains the same as that of the standard RLS algorithm. The advantages and tradeoffs of using different decay functions are analyzed and then demonstrated with examples. Simulation results show that our approach is able to meet the design goals: improving the generalization ability of the trained network while getting a compact network.

References

Dec 1, 1990·Proceedings of the National Academy of Sciences of the United States of America·W H Wolberg, O L Mangasarian
Apr 24, 2001·Neural Networks : the Official Journal of the International Neural Network Society·C S LeungL W Chan
Oct 6, 2004·IEEE Transactions on Neural Networks·Shaojun WangYunxin Zhao
Jun 9, 2005·IEEE Transactions on Neural Networks·Jongsoo ChoiTet Hin Yeap
Feb 6, 2008·IEEE Transactions on Neural Networks·C S LeungL W Chan
Jan 1, 1997·IEEE Transactions on Neural Networks·X Yao, Y Liu
Jan 1, 1995·IEEE Transactions on Neural Networks·R Setiono, L K Hui
Jan 1, 1994·IEEE Transactions on Neural Networks·J T ConnorL E Atlas
Jan 1, 1994·IEEE Transactions on Neural Networks·M T Hagan, M B Menhaj
Jan 1, 1993·IEEE Transactions on Neural Networks·R Reed

❮ Previous
Next ❯

Citations

Feb 14, 2008·IEEE Transactions on Neural Networks·J G HsiehJ H Jeng
Mar 13, 2008·IEEE Transactions on Neural Networks·Chi-Sing Leung, John Pui-Fai Sum
Mar 31, 2012·Acta Obstetricia Et Gynecologica Scandinavica·Maria SarbergEva Svanborg

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

IEEE Transactions on Neural Networks
C S LeungW K Kan
IEEE Transactions on Neural Networks
Dhananjay S Phatak, I Koren
IEEE Transactions on Neural Networks
C NetiE D Young
© 2021 Meta ULC. All rights reserved