Efficient network training method for two-dimension DOA estimation

2004 ◽  
Author(s):  
Hongguang Chen ◽  
Biao Li ◽  
Zhenkang Shen
Keyword(s):  
Doa Estimation ◽  
Training Method ◽  
Two Dimension ◽  
Network Training

BP Network Optimization Based on Improved Genetic Algorithm

2012 ◽  
Vol 532-533 ◽  
pp. 1757-1763
Author(s):  
Wei Wei Sun ◽  
Yun Fei Yao ◽  
Chun Sheng Wang ◽  
Ye Gang Hu
Keyword(s):  
Genetic Algorithm ◽  
Network Optimization ◽  
Network Architecture ◽  
Training Method ◽  
Improved Genetic Algorithm ◽  
Bp Network ◽  
Network Training ◽  
Hierarchical Code ◽  
Adaptive Crossover ◽  
Crossover And Mutation

In view of the virtue and shortage of genetic algorithm and BP network, this paper proposes a new BP network training method based on improved genetic algorithm (IGA-BP). This algorithm uses hierarchical code, adaptive crossover and mutation, pruning similar chromosomes, dynamic supply new chromosomes and other operations, so the network structure and weight are optimized at the same time and the "premature" phenomenon is avoided. The simulation results show that the IGA-BP network architecture is simple, the convergence rate is quick, and has good approximation and generalization ability.

scholarly journals Computational Efficient Two-Dimension DOA Estimation for Incoherently Distributed Noncircular Sources With Automatic Pairing

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 20249-20259 ◽  
Author(s):  
Zhengliang Dai ◽  
Bin Ba ◽  
Weijia Cui ◽  
Youming Sun
Keyword(s):  
Doa Estimation ◽  
Two Dimension
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