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| Stock Index Prediction Based on the PSOPI-BP Neural Network |
| Jun Cheng, Rongjun Li, Xue Deng |
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Abstract In order to improve the prediction ability of the Neuron Network in
stock index prediction, we proposed an improve particle swarm neural
network algorithm. The Particle Swarm Optimization algorithm based
on Parasitic Immune (PSOPI) was used to optimize combination weights
of BP neural network model parameters. The BP algorithm was also to
obtain the parameters of network further accurate. Finally,
experimental results demonstrate the efficacy of our improved
algorithm.
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| DOI:10.12733/jics20104402 |
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