Research on data mining algorithm based on neural network and particle swarm optimization
Author:
Affiliation:
1. School of Computer Information and Engineering, Changzhou Institute of Technology, Jiangsu, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference10 articles.
1. Blast-inducedair and ground vibration prediction: A particle swarm optimization-based artificial neural network approach;Hajihassani;Environmental Earth Sciences,2015
2. Generalized radial basis function neural network based on an improved dynamic particle swarm optimization and AdaBoost algorithm;Lu;Neurocomputing,2015
3. Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: A case study of wind speed time series;Wang;Iet Renewable Power Generation,2016
4. New data-hiding algorithm based on adaptive neural networks with modified particle swarm optimization;El-Emam;Computers & Security,2015
5. K-means algorithm based on particle swarm optimization for the identification of rock discontinuity sets;Li;Rock Mechanics & Rock Engineering,2015
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