Differential Evolution Based Particle Swarm Pptimizer for Neural Network Learning

2008 ◽  
Author(s):  
Dongfang Ning ◽  
Weiguo Zhang ◽  
Bin Li
Keyword(s):  
Neural Network ◽  
Differential Evolution ◽  
Particle Swarm ◽  
Neural Network Learning ◽  
Network Learning

The Application of BP Neural Network Learning Algorithm Based on the Particle Swarm Optimization

2013 ◽  
Vol 706-708 ◽  
pp. 2057-2062
Author(s):  
Zhi Hong Sun ◽  
Jun Wang ◽  
Bao Ji Xu
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Real Estate ◽  
Bp Neural Network ◽  
Learning Algorithm ◽  
Particle Swarm ◽  
Local Optimum ◽  
Swarm Optimization ◽  
Neural Network Learning ◽  
Network Learning

The development of real estate has been affected by various social factors, including economic factors. BP neural network can more accurately forecast the trend of real estate industry according to economic development indicators. But BP neural network is slow convergence in the training process, and easily falls into local optimum. The BP neural network learning algorithm based on the particle swarm optimization (PSO) optimizes the weights and thresholds of the network by PSO algorithm, then to train BP neural network. The experimental results show that the performance of this new algorithm is better than BP neural network, but also has good convergence.

Speed up Neural Network Learning by GPGPU

2011 ◽  
Vol 131 (11) ◽  
pp. 1889-1894
Author(s):  
Yuta Tsuchida ◽  
Michifumi Yoshioka
Keyword(s):  
Neural Network ◽  
Neural Network Learning ◽  
Network Learning ◽  
Speed Up
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