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» Training Neural Networks with GA Hybrid Algorithms
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120
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GLOBECOM
2007
IEEE
15 years 8 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li
CCE
2008
15 years 2 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
119
Voted
IAJIT
2010
99views more  IAJIT 2010»
15 years 13 days ago
Hybrid computing algorithm in representing solid model
: This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm contains two steps namely reconstruction and represent...
Muhammad Matondang, Habibollah Haron
IJCAI
2001
15 years 3 months ago
Genetic Algorithm based Selective Neural Network Ensemble
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen
109
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ISPAN
2005
IEEE
15 years 7 months ago
A Hybrid Algorithm for Dynamic Lightpath Protection in Survivable WDM Optical Networks
- Dynamic lightpath protection in survivable WDM networks requires finding a pair of diverse routes (i.e., a primary route and a backup route that are link-disjoint) that form a cy...
Vinh Trong Le, Son-Hong Ngo, Xiaohong Jiang, Susum...