Sciweavers

160 search results - page 3 / 32
» A Very Fast Learning Method for Neural Networks Based on Sen...
Sort
View
ISNN
2010
Springer
13 years 3 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
IEEEIAS
2009
IEEE
13 years 11 months ago
Analysis of One-way Alterable Length Hash Function Based on Cell Neural Network
: In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence is generated by iterating C...
Qun-ting Yang, Tie-gang Gao, Li Fan, Qiao-lun Gu
FLAIRS
2007
13 years 6 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
ICDAR
2003
IEEE
13 years 9 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
IJCAI
1997
13 years 5 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe