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196
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BMCBI
2008
138views more  BMCBI 2008»
15 years 7 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
TNN
1998
254views more  TNN 1998»
15 years 6 months ago
Periodic symmetric functions, serial addition, and multiplication with neural networks
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Sorin Cotofana, Stamatis Vassiliadis
IEEEIAS
2009
IEEE
16 years 1 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
ICICIC
2006
IEEE
16 years 27 days ago
Integration of Genetic Algorithm and Neural Network for Financial Early Warning System: An Example of Taiwanese Banking Industry
Genetic algorithm and neural network (GNN) are integrated to build a financial early warning system. An example of Taiwanese banking industry is discussed to test the hit ratio of...
Jih-Chang Hsieh, Pei-Chann Chang, Shih-Hsin Chen
163
Voted
VTC
2006
IEEE
110views Communications» more  VTC 2006»
16 years 25 days ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo